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Plebe, A., Svensson, H., Mahmoud, S. & Da Lio, M. (2024). Human-inspired autonomous driving: A survey. Cognitive Systems Research, 83, Article ID 101169.
Open this publication in new window or tab >>Human-inspired autonomous driving: A survey
2024 (English)In: Cognitive Systems Research, ISSN 2214-4366, E-ISSN 1389-0417, Vol. 83, article id 101169Article, review/survey (Refereed) Published
Abstract [en]

Autonomous vehicles promise to revolutionize society and improve the daily life of many, making them a coveted aim for a vast research community. To enable complex reasoning in autonomous vehicles, researchers are exploring new methods beyond traditional engineering approaches, in particular the idea of drawing inspiration from the only existing being able to drive: the human. The mental processes behind the human ability to drive can inspire new approaches with the potential to bridge the gap between artificial drivers and human drivers. In this review, we categorize and evaluate existing work on autonomous driving influenced by cognitive science, neuroscience, and psychology. We propose a taxonomy of the various sources of inspiration and identify the potential advantages with respect to traditional approaches. Although these human-inspired methods have not yet reached widespread adoption, we believe they are critical to the future of fully autonomous vehicles. 

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Autonomous vehicles, Human cognition, Human driving, Imitation learning, Neuromorphic computing, Autonomous driving, Daily lives, Mental process, Research communities, Traditional engineerings, adoption, autonomous vehicle, cognition, human, human experiment, imitation, learning, neuroscience, psychology, short survey, taxonomy
National Category
Human Computer Interaction Ethics Vehicle Engineering Computer Sciences
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-23259 (URN)10.1016/j.cogsys.2023.101169 (DOI)001080906500001 ()2-s2.0-85171333787 (Scopus ID)
Note

CC BY-NC-ND 4.0 DEED

© 2023

Corresponding author: E-mail address: alice.plebe@unitn.it (A. Plebe)

Available from: 2023-09-28 Created: 2023-09-28 Last updated: 2023-12-06Bibliographically approved
Mahmoud, S., Billing, E., Svensson, H. & Thill, S. (2023). How to train a self-driving vehicle: On the added value (or lack thereof) of curriculum learning and replay buffers. Frontiers in Artificial Intelligence, 6, Article ID 1098982.
Open this publication in new window or tab >>How to train a self-driving vehicle: On the added value (or lack thereof) of curriculum learning and replay buffers
2023 (English)In: Frontiers in Artificial Intelligence, E-ISSN 2624-8212, Vol. 6, article id 1098982Article in journal (Refereed) Published
Abstract [en]

Learning from only real-world collected data can be unrealistic and time consuming in many scenario. One alternative is to use synthetic data as learning environments to learn rare situations and replay buffers to speed up the learning. In this work, we examine the hypothesis of how the creation of the environment affects the training of reinforcement learning agent through auto-generated environment mechanisms. We take the autonomous vehicle as an application. We compare the effect of two approaches to generate training data for artificial cognitive agents. We consider the added value of curriculum learning—just as in human learning—as a way to structure novel training data that the agent has not seen before as well as that of using a replay buffer to train further on data the agent has seen before. In other words, the focus of this paper is on characteristics of the training data rather than on learning algorithms. We therefore use two tasks that are commonly trained early on in autonomous vehicle research: lane keeping and pedestrian avoidance. Our main results show that curriculum learning indeed offers an additional benefit over a vanilla reinforcement learning approach (using Deep-Q Learning), but the replay buffer actually has a detrimental effect in most (but not all) combinations of data generation approaches we considered here. The benefit of curriculum learning does depend on the existence of a well-defined difficulty metric with which various training scenarios can be ordered. In the lane-keeping task, we can define it as a function of the curvature of the road, in which the steeper and more occurring curves on the road, the more difficult it gets. Defining such a difficulty metric in other scenarios is not always trivial. In general, the results of this paper emphasize both the importance of considering data characterization, such as curriculum learning, and the importance of defining an appropriate metric for the task.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2023
Keywords
data generation, curriculum learning, cognitive-inspired learning, reinforcement learning, replay buffer, self-driving cars
National Category
Computer Sciences Computer Vision and Robotics (Autonomous Systems) Robotics
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-22215 (URN)10.3389/frai.2023.1098982 (DOI)000928959000001 ()36762255 (PubMedID)2-s2.0-85147654896 (Scopus ID)
Funder
EU, Horizon 2020, 731593
Note

CC BY 4.0

Received 15 November 2022, Accepted 05 January 2023, Published 25 January 2023

This article was submitted to Machine Learning and Artificial Intelligence, a section of the journal Frontiers in Artificial Intelligence

This article is part of the Research Topic Artificial Intelligence and Autonomous Systems

Correspondence Sara Mahmoud sara.mahmoud@his.se

Part of this work was funded under the Horizon 2020 project DREAMS4CARS, Grant No. 731593.

Available from: 2023-01-31 Created: 2023-01-31 Last updated: 2023-05-04Bibliographically approved
Lagerstedt, E. & Svensson, H. (2022). Do Tourists Dream of Electric Bikes?: Electric Bikes as a Mean to Improve Sustainability of Tourism in Rural Sweden. In: Academic Mindtrek 2022: 25th International Academic Mindtrek conference. Paper presented at Academic Mindtrek 2022: 25th International Academic Mindtrek conference, Tampere, Finland, November 16 - 18, 2022 (pp. 167-178). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Do Tourists Dream of Electric Bikes?: Electric Bikes as a Mean to Improve Sustainability of Tourism in Rural Sweden
2022 (English)In: Academic Mindtrek 2022: 25th International Academic Mindtrek conference, Association for Computing Machinery (ACM), 2022, p. 167-178Conference paper, Published paper (Refereed)
Abstract [en]

The paper investigates the potential of electric bikes as a sustainable alternative for local transportation during vacations in rural areas, replacing mainly transportation by car. Our starting point is that a key to behaviour change in the context of tourism and leisure travels is to make the sustainable travel option the most desirable option for the traveller. We study this by exploring three different electric bike offers in the area of Skaraborg, Sweden, and analysing the experience of the cyclists. 15 participants were invited to rent electric bicycles as mode of transportation for tourism in and around the small towns Lidköping and Skara for one day. Individual semi structured interviews were performed with the participants. Our main result is that there are aspects of electric bikes that make them particularly appropriate as a sustainable mode of transportation for local tourist destinations, and could also lower the threshold for more sustainable behaviours. Travelling by electric bike was experienced as beneficial in several ways; it automatically and effortlessly gives the cyclist access to nature, it constitutes a plausible option for more sustainable transportation at medium distances, and it allows the entire group of travellers, such as a families, to feel as being part of shaping the journey which contributes to engagement and motivation. Although intended for tourists, it also facilitate local people to access and reflect on their local flora and fauna. We also found that digital tools such as maps, information sources, and booking systems have a key part in the deployment when appropriately integrated. In addition, we found that it was important to lower the threshold of trying electric bikes, and an important key for this was personal service from proficient people who could provide a sense of security by giving instructions, answering questions, and support in adjusting the equipment.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2022
Keywords
sustainable tourism, electric bikes, behavioural change, modal shift
National Category
Human Aspects of ICT Economic Geography Social Sciences Interdisciplinary
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-22064 (URN)10.1145/3569219.3569350 (DOI)2-s2.0-85142647010 (Scopus ID)978-1-4503-9955-5 (ISBN)
Conference
Academic Mindtrek 2022: 25th International Academic Mindtrek conference, Tampere, Finland, November 16 - 18, 2022
Projects
SMaRT — Sustainable Mobility Rural and Urban Transport
Funder
Interreg, NYPS 20203416
Note

CC BY 4.0

This work is done within the Interreg funded project SMaRT —Sustainable Mobility Rural and Urban Transport, NYPS 20203416. The authors would also like to thank Kajsa Nalin who assisted in taking the teaser image.

Available from: 2022-11-21 Created: 2022-11-21 Last updated: 2023-01-16Bibliographically approved
Aslam, T., Goienetxea Uriarte, A. & Svensson, H. (2022). Education of the Future: Learnings and Experiences from Offering Education to Industry Professionals. In: Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm (Ed.), SPS2022: Proceedings of the 10th Swedish Production Symposium. Paper presented at 10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022 (pp. 665-676). Amsterdam; Berlin; Washington, DC: IOS Press
Open this publication in new window or tab >>Education of the Future: Learnings and Experiences from Offering Education to Industry Professionals
2022 (English)In: SPS2022: Proceedings of the 10th Swedish Production Symposium / [ed] Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm, Amsterdam; Berlin; Washington, DC: IOS Press, 2022, p. 665-676Conference paper, Published paper (Refereed)
Abstract [en]

Digitalization is forcing the industry to rethink current practices in all business domains, pushing for a digital transformation of business and operations at a high rate and, thus, paving the way for new business models and making others redundant. For small and medium-sized companies (SME), in particular, it is an enormous challenge to keep up with the pace of technological development. Several initiatives have argued the industry’s need for continuous digitalization, innovation, transformation ability, and future skills and competencies development. However, the advancement of the Swedish industry in this area has been uneven, where larger organizations have begun their digital transformation journey to some extent, but SMEs risk falling behind. In addition to the technological transformation, the challenges regarding the industries’ skills supply need to be solved, where a workforce with the right competencies, knowledge, and skill sets are equally, if not more, important for remaining competitive. One of the key elements to face these challenges in the companies will be to recruit knowledgeable employees or re-skill the existing ones. Efficient access to relevant knowledge and skills is still a major concern for companies that will surely affect their competitiveness for a long time to come. This paper elaborates on the opportunities and challenges that Swedish universities face in the context of lifelong learning and education for industry professionals. The paper presents results and experiences gained from a lifelong learning project for industry professionals at the University of Skövde in collaboration with ten industry partners. The results from the project show that in addition to pedagogical methods, current structures and policies within academia need to be further developed to effectively serve industry professionals. The paper also presents a concept of education for industry professionals in the lifelong learning context based on the results and experience gained from the project.

Place, publisher, year, edition, pages
Amsterdam; Berlin; Washington, DC: IOS Press, 2022
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 21
Keywords
Education, Lifelong Learning, Digital Transformation, Industry professionals
National Category
Pedagogy Learning Information Systems, Social aspects Production Engineering, Human Work Science and Ergonomics Mechanical Engineering Robotics Control Engineering
Research subject
Production and Automation Engineering; Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-21110 (URN)10.3233/ATDE220185 (DOI)2-s2.0-85132822763 (Scopus ID)978-1-64368-268-6 (ISBN)978-1-64368-269-3 (ISBN)
Conference
10th Swedish Production Symposium (SPS2022), Skövde, April 26–29 2022
Projects
Virtual FactoryWISER
Funder
Knowledge Foundation
Note

CC BY-NC 4.0

Corresponding Author: tehseen.aslam@his.se

The authors gratefully acknowledge the Swedish Knowledge Foundation for funding the projects Virtual Factory and WISER as part of their Graduate Professional Development projects (Expertkompetens), which strengthen education through the development of flexible, research-linked courses at advanced level for working professionals.

Available from: 2022-05-02 Created: 2022-05-02 Last updated: 2022-12-16Bibliographically approved
Mahmoud, S., Billing, E., Svensson, H. & Thill, S. (2022). Where to from here?: On the future development of autonomous vehicles from a cognitive systems perspective. Cognitive Systems Research, 76, 63-77
Open this publication in new window or tab >>Where to from here?: On the future development of autonomous vehicles from a cognitive systems perspective
2022 (English)In: Cognitive Systems Research, ISSN 2214-4366, E-ISSN 1389-0417, Vol. 76, p. 63-77Article in journal (Refereed) Published
Abstract [en]

Self-driving cars not only solve the problem of navigating safely from location A to location B; they also have to deal with an abundance of (sometimes unpredictable) factors, such as traffic rules, weather conditions, and interactions with humans. Over the last decades, different approaches have been proposed to design intelligent driving systems for self-driving cars that can deal with an uncontrolled environment. Some of them are derived from computationalist paradigms, formulating mathematical models that define the driving agent, while other approaches take inspiration from biological cognition. However, despite the extensive work in the field of self-driving cars, many open questions remain. Here, we discuss the different approaches for implementing driving systems for self-driving cars, as well as the computational paradigms from which they originate. In doing so, we highlight two key messages: First, further progress in the field might depend on adapting new paradigms as opposed to pushing technical innovations in those currently used. Specifically, we discuss how paradigms from cognitive systems research can be a source of inspiration for further development in modeling driving systems, highlighting emergent approaches as a possible starting point. Second, self-driving cars can themselves be considered cognitive systems in a meaningful sense, and are therefore a relevant, yet underutilised resource in the study of cognitive mechanisms. Overall, we argue for a stronger synergy between the fields of cognitive systems and self-driving vehicles.

Place, publisher, year, edition, pages
Elsevier, 2022
National Category
Robotics Computer Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-21894 (URN)10.1016/j.cogsys.2022.09.005 (DOI)000883846400001 ()2-s2.0-85140001741 (Scopus ID)
Note

CC BY 4.0

Available online 1 October 2022

Corresponding author: E-mail address: sara.mahmoud@his.se (S. Mahmoud).

Available from: 2022-10-03 Created: 2022-10-03 Last updated: 2023-01-16Bibliographically approved
Windridge, D., Svensson, H. & Thill, S. (2021). On the utility of dreaming: A general model for how learning in artificial agents can benefit from data hallucination. Adaptive Behavior, 29(3), 267-280, Article ID UNSP 1059712319896489.
Open this publication in new window or tab >>On the utility of dreaming: A general model for how learning in artificial agents can benefit from data hallucination
2021 (English)In: Adaptive Behavior, ISSN 1059-7123, E-ISSN 1741-2633, Vol. 29, no 3, p. 267-280, article id UNSP 1059712319896489Article in journal (Refereed) Published
Abstract [en]

We consider the benefits of dream mechanisms - that is, the ability to simulate new experiences based on past ones - in a machine learning context. Specifically, we are interested in learning for artificial agents that act in the world, and operationalize "dreaming" as a mechanism by which such an agent can use its own model of the learning environment to generate new hypotheses and training data. We first show that it is not necessarily a given that such a data-hallucination process is useful, since it can easily lead to a training set dominated by spurious imagined data until an ill-defined convergence point is reached. We then analyse a notably successful implementation of a machine learning-based dreaming mechanism by Ha and Schmidhuber (Ha, D., & Schmidhuber, J. (2018). World models. arXiv e-prints, arXiv:1803.10122). On that basis, we then develop a general framework by which an agent can generate simulated data to learn from in a manner that is beneficial to the agent. This, we argue, then forms a general method for an operationalized dream-like mechanism. We finish by demonstrating the general conditions under which such mechanisms can be useful in machine learning, wherein the implicit simulator inference and extrapolation involved in dreaming act without reinforcing inference error even when inference is incomplete.

Place, publisher, year, edition, pages
Sage Publications, 2021
Keywords
Artificial dream mechanisms, data simulation, machine learning, reinforcement learning
National Category
Computer Sciences
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-18160 (URN)10.1177/1059712319896489 (DOI)000506780000001 ()2-s2.0-85077601986 (Scopus ID)
Projects
EC H2020 research project Dreams4Cars (no. 731593)
Note

First Published January 8, 2020

CC BY-NC 4.0

Available from: 2020-01-23 Created: 2020-01-23 Last updated: 2022-12-16Bibliographically approved
Da Lio, M., Donà, R., Papini, G. P., Biral, F. & Svensson, H. (2020). A Mental Simulation Approach for Learning Neural-Network Predictive Control (in Self-Driving Cars). IEEE Access, 8, 192041-192064
Open this publication in new window or tab >>A Mental Simulation Approach for Learning Neural-Network Predictive Control (in Self-Driving Cars)
Show others...
2020 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 8, p. 192041-192064Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel approach to learning predictive motor control via mental simulations. The method, inspired by learning via mental imagery in natural Cognition, develops in two phases: first, the learning of predictive models based on data recorded in the interaction with the environment; then, at a deferred time, the synthesis of inverse models via offline episodic simulations. Parallelism with human-engineered control-theoretic workflow (mathematical modeling the direct dynamics followed by optimal control inversion) is established. Compared to the latter human-directed synthesis, the mental simulation approach increases autonomy: a robotic agent can learn predictive models and synthesize inverse ones with a large degree of independence. Human modeling is still needed but limited to providing efficient templates for the forward and inverse neural networks and a few other directives. One could consider these templates as the efficient brain network typologies that evolution produced to permit live beings quickly and efficiently learning. The structure of the neural networks both forward and inverse ones; is made of interpretable local models which follows the cerebellar organization (and are also similar to local model approaches known in the literature). We demonstrate the learning of a first-round model (contrasted to Model Predictive Control) for lateral vehicle dynamics. Then, we demonstrate a second learning iteration, where the forward/inverse neural models are significantly improved.

Place, publisher, year, edition, pages
IEEE, 2020
Keywords
Mental simulation, neural networks, optimal control, predictive control, vehicle dynamics
National Category
Computer Sciences
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-19266 (URN)10.1109/ACCESS.2020.3032780 (DOI)000584886100001 ()2-s2.0-85101761481 (Scopus ID)
Note

CC BY 4.0

Available from: 2020-11-19 Created: 2020-11-19 Last updated: 2022-12-28Bibliographically approved
Mahmoud, S., Svensson, H. & Thill, S. (2019). Cognitively-inspired episodic imagination for self-driving vehicles. In: Towards Cognitive Vehicles: perception, learning and decision making under real-world constraints. Is bio-inspiration helpful?: Proceedings. Paper presented at TCV2019: Towards Cognitive Vehicles: perception, learning and decision making under real-world constraints. Is bio-inspiration helpful? Workshop held as part of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019). Macau, China, November 8, 2019. (pp. 28-31).
Open this publication in new window or tab >>Cognitively-inspired episodic imagination for self-driving vehicles
2019 (English)In: Towards Cognitive Vehicles: perception, learning and decision making under real-world constraints. Is bio-inspiration helpful?: Proceedings, 2019, p. 28-31Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

The controller of an autonomous vehicle needsthe ability to learn how to act in different driving scenariosthat it may face. A significant challenge is that it is difficult,dangerous, or even impossible to experience and explore variousactions in situations that might be encountered in the realworld. Autonomous vehicle control would therefore benefitfrom a mechanism that allows the safe exploration of actionpossibilities and their consequences, as well as the ability tolearn from experience thus gained to improve driving skills.In this paper we demonstrate a methodology that allows alearning agent to create simulations of possible situations. Thesesimulations can be chained together in a sequence that allowsthe progressive improvement of the agent’s performance suchthat the agent is able to appropriately deal with novel situationsat the end of training. This methodology takes inspirationfrom the human ability to imagine hypothetical situations usingepisodic simulation; we therefore refer to this methodology asepisodic imagination.An interesting question in this respect is what effect thestructuring of such a sequence of episodic imaginations hason performance. Here, we compare a random process to astructured one and initial results indicate  that a structuredsequence outperforms a random one.

National Category
Robotics
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-18175 (URN)
Conference
TCV2019: Towards Cognitive Vehicles: perception, learning and decision making under real-world constraints. Is bio-inspiration helpful? Workshop held as part of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019). Macau, China, November 8, 2019.
Funder
EU, Horizon 2020, 41365
Available from: 2020-01-28 Created: 2020-01-28 Last updated: 2022-12-28Bibliographically approved
Holgersson, J., Bergström, E., Kävrestad, J. & Svensson, H. (2018). Analys av studenters upplevelse av hindrande faktorer för utbytesstudier. In: NU2018 - Det akademiska lärarskapet: . Paper presented at NU2018 - Det akademiska lärarskapet, Västerås, 9-11 oktober, 2018. , Article ID 684.
Open this publication in new window or tab >>Analys av studenters upplevelse av hindrande faktorer för utbytesstudier
2018 (Swedish)In: NU2018 - Det akademiska lärarskapet, 2018, article id 684Conference paper, Oral presentation with published abstract (Refereed)
Abstract [sv]

I Högskolan i Skövdes (HS) utvecklingsplan (Högskolan i Skövde, 2017) framhålls vikten av att samtliga utbildningsprogram skall erbjuda möjligheter till utbytesstudier. Historiskt sett har antalet utresande vid HS varit lågt samtidigt som fakta som belyser varför så är fallet främst har baserats på enskilda studenters upplevelser av nominerings- och antagningsprocesser. Dock saknas en mer enhetlig och generaliserbar vy av hur olika funktioner på HS rörande utbytesstudier upplevs, både av studenter som genomfört utbytesstudier samt av studenter som varit nominerade men valt att inte genomföra utbytesstudier.

Den frågeställning som adresserats är: vilka hinder finns för studenter som vill genomföra utbytesstudier? Den metod som tillämpats är en enkät som skickats ut till samtliga studenter som varit nominerade för utbytesstudier under 2017. Enkäten har baserats på en Likert-skala (Bryman och Nilsson) som kombinerats med fritextsvar.

Totalt har 20 studenter från olika utbildningsprogram besvarat enkäten. Studien visar att studenterna rent generellt är nöjda med HS administrativa funktioner vilket också är den kanal som oftast utnyttjas. Andra administrativa funktioner såsom programansvariga och ämnesföreträdare upplevs olika av studenterna beroende på vilket ämnesområde som berörs.

Studenterna redovisar ett antal huvudsakliga skäl som hindrar eller försvårar utbytesstudier. 1) Det läggs ett alltför stort ansvar på studenten i att identifiera kurser som denne är behörig till och som inte överlappar med kurser som läses vid det egna lärosätet. Detta innefattar även val av kurser som skall motsvara obligatoriska kurser på hemmaplan som i sin tur ligger som förkunskapskrav för framtida kurser inom utbildning, såsom examensarbeten. 2) Avsaknad av utbytesavtal med specifika länder samt svårighet att identifiera avtal med lärosäten som matchar studentens utbildningsprofil vid det egna lärosätet upplevs likaså som ett hinder för flertalet studenter. 3) Vidare uppger studenterna att det i många fall är svårt att ta till sig information på olika lärosätens hemsidor för att identifiera passande kurser eftersom den information som finns att tillgå upplevs som mycket heterogen och därmed både svårtolkad och svårnavigerad. Detta kan jämföras mot hur svenska lärosäten publicerar information om kurser vilket av studenterna upplevs som mer enhetligt och standardiserat vilket i sin tur gör olika kurser enklare att jämföra.

Något som efterfrågas av många studenter som varit nominerade för utbytesstudier men som i slutändan valt att inte resa är ”utbytesstudie-charter” där det finns färdiga kurspaket som är granskade och validerade av HS. Även önskemål om mer standardiserade paket för boende och andra praktiska frågor efterfrågas av studenterna.

Den information som enkätstudien har lyft fram har i första hand visat på att HS administrativa funktioner för utbytesstudier fungerar tillfredställande. Likaså verifierar enkätstudien de hypoteser som funnits rörande hindrande faktorer för utbytesstudier i de flesta fall stämmer: osäkerhet kring val av kurser och en oro för hur utbytesstudier kommer att påverka framtida studier på hemmaplan är stora orosmoment som kan få studenter av avstå från utbytesstudier trots ett initialt intresse för sådana.

Referenser

Bryman, A., & Nilsson, B. (2011). Samhällsvetenskapliga metoder. Malmö: Liber.

Högskolan i Skövde. (2017). Utvecklingsplan. Skövde.

National Category
Pedagogical Work
Research subject
Information Systems; Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-16329 (URN)
Conference
NU2018 - Det akademiska lärarskapet, Västerås, 9-11 oktober, 2018
Available from: 2018-10-24 Created: 2018-10-24 Last updated: 2023-01-02Bibliographically approved
Bergström, E., Holgersson, J., Kävrestad, J., Larsson, S., Lindgren, F., Mandl, P., . . . Svensson, H. (2018). Erfarenheter, lärdomar och effekter med gränsöverskridande arbete för utbytesstudier. In: NU2018 - Det akademiska lärarskapet: . Paper presented at NU2018 - Det akademiska lärarskapet, Västerås, 9-11 oktober, 2018. , Article ID 685.
Open this publication in new window or tab >>Erfarenheter, lärdomar och effekter med gränsöverskridande arbete för utbytesstudier
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2018 (Swedish)In: NU2018 - Det akademiska lärarskapet, 2018, article id 685Conference paper, Oral presentation with published abstract (Refereed)
Abstract [sv]

I Högskolan i Skövdes (HS) nuvarande utvecklingsplan beskrivs att samtliga utbildningsprogram som ges vid lärosätet skall erbjuda möjligheter till studier utomlands. Som en konsekvens har en strategisk satsning för att stimulera en ökad mobilitet vid HS initierats genom att Institutionen för informationsteknologi (IIT) tillsammans med verksamhetsstödet har deltagit i ett UHR-projekt med fokus på vägledningsprocessen i samband med mobilitet.

Projektet har pågått under 18 månader och ett 10-tal deltagare som representerar de flesta roller som är involverade i internationaliseringsarbetet på IIT och verksamhetsstödet har ingått. Projektet har bedrivits främst som en serie av workshoppar där parallell datainsamling har skett med hjälp av intervjuer och enkätstudier.

I detta bidrag vill vi visa några av de mål som projektet fokuserat på samt syftet med dessa. Projektet har haft följande mål:

Identifiera minst tre partnerlärosäten som passar varje utbildningsprogram - Målet syftar till att kartlägga både existerande och nya partnerlärosäte för att på så sätt sänka tröskeln för studenter som är intresserade av utbyte, men som har svårt att hitta lämpliga alternativ.

Tydliggöra roll- och ansvarsfördelning i mobilitetsprocessen - Detta mål syftar till att utforma processbeskrivningar för att tydliggöra roll- och ansvarsfördelning kring utresandeprocessen för programansvarig, ämnesföreträdare, internationell koordinator, studie- och karriärvägledaren, studenten och partnerlärosätet. Även kommunikationsaspekter och studentperspektiv beaktas i detta mål.

Skapa adekvat vägledning och informationsinsatser gentemot studenterna - Syftet med målet är att utveckla, strukturera och systematisera informationsvägar och kommunikation mellan vägledning, programansvarig, partnerlärosäte och studenter.

Identifiera och utvärdera nyckelfaktorerna för att förbättra stödet till studenterna, undanröja hinder i mobilitetsprocessen samt underlätta programansvarigas och studie- och karriärvägledarnas arbete med utresande studenter - Målet är att identifiera och utvärdera nyckelfaktorer som hindrar mobilitet som kan spridas internt på HS samt externt för att i förlängningen öka mobiliteten bland Sveriges studenter.

Se till att samtliga kandidatprogram på IIT har en termin avsatt för utlandsstudier och undanröja de hinder som finns i befintliga programstrukturer - Syftet är att göra det enklare för studenter att under sin ordinarie studietid genomföra utbytesstudier utan att deras studier vid HS blir drabbade av förkunskapsstrukturer som hindrar fortsatta studier vid hemkomst.

I studien inkludera de studenter som har varit intresserade eller sökt utbytesstudier men som inte kommit iväg på utbyte - Syftet är att skapa en god översikt över vilka skäl denna studentkategori har haft för att avstå utbytesstudier för att på så vis kunna förbättra existerande processer för utbytesstudier och därmed minimera risken att intresserade studenter väljer att avstå från utbytesstudier.

Vid projektets avslut analyserades projektets direkta och indirekta interorganisatoriska effekter tillsammans med aktuell statistik för de studenter som under 2017 nominerats för utbytesstudier. En uppenbar effekt av projektets arbete är att antalet studenter som 2017 vid IIT nominerats för utbytesstudier ökat kraftigt. Likaså observeras ökade kunskaper om processen kring utbytesstudier och ett förbättrat studentperspektiv och bättre kunskaper om studenternas upplevelse av nomineringsprocessen.

Under presentation vill vi visa upp fler detaljer från vår analys samt hur vi planerar att arbeta vidare med de resultat vi fått fram i projektet.

National Category
Pedagogical Work
Research subject
Information Systems; Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-16330 (URN)
Conference
NU2018 - Det akademiska lärarskapet, Västerås, 9-11 oktober, 2018
Available from: 2018-10-24 Created: 2018-10-24 Last updated: 2023-12-01Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3129-4892

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