Ville HeilalaUniversity of Jyväskylä | JYU · Faculty of Education and Psychology
Ville Heilala
Doctor of Philosophy
About
21
Publications
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Introduction
"Teaching people and machines"
Ph.D. Ville Heilala is a postdoctoral researcher in the Faculty of Education and Psychology at the University of Jyväskylä. He has a doctoral degree in computer science, a master's degree in education, and a bachelor's degree in music. Before his research career, Ville worked for over a decade as a teacher in primary education.
Additional affiliations
January 2020 - July 2022
Education
August 2018 - August 2022
August 2015 - May 2018
August 2001 - July 2006
Publications
Publications (21)
The pervasiveness of technical systems in our lives calls for a broad understanding of the interaction between humans and technology. Affinity for technology interaction (ATI) scale measures the tendency of a person to actively engage or to avoid interaction with technological systems, including both software and physical devices. This research pre...
This study employed multimodal learning analytics (MMLA) to analyze behavioral dynamics during the ABCDE procedure in nursing education, focusing on gaze entropy, hand movement velocities, and proximity measures. Utilizing accelerometers and eye-tracking techniques, behaviorgrams were generated to depict various procedural phases. Results identifie...
This chapter deals with the learning analytics technique called student agency analytics and explores its foundational technologies and their potential implications for adaptive teaching and learning. Student agency is vital to consider as it can empower students to take control of their learning, fostering autonomy, meaningful experiences, and imp...
Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first st...
Generative artificial intelligence (GenAI) can reshape education and learning. While large language models (LLMs) like ChatGPT dominate current educational research, multimodal capabilities, such as text-to-speech and text-to-image, are less explored. This study uses topic modeling to map the research landscape of multimodal and generative AI in ed...
In an authentic flight simulator, the instructor is traditionally located behind the learner and is thus unable to observe the pilot’s visual attention (i.e. gaze behaviour). The focus of this article is visual attention in relation to pilots’ professional learning in an Airbus A320 Full Flight Simulator. For this purpose, we measured and analysed...
Educational research on learning interactions has been traditionally mainly based on human observations and manual analysis, which is extremely labour intensive. So far, technology-enhanced ways to harness the power of automatic approaches to analyse the content of talk have been implemented through machine learning. The next step of the automatic...
This study explores potential disparities between flight instructor evaluations and pilot self-assessments in the context of full flight simulator training. Evaluated performance was based on the Competency-based Training and Assessment framework, a recent development of competency-based education within aviation. Self-assessed performance is deriv...
New technologies have the potential to support inclusive and collaborative learning processes. However, students’ technology readiness influences how they utilize learning technologies. This research examined technology readiness among Finnish university students (N = 796) utilizing Technology Readiness Index TRI 2.0, which showed promising psychom...
Evidence has emerged on the importance of emotions for students’ problem-solving. Despite the convincing evidence on the role of emotions, there has not been much discussion on how the emergence of different kinds of emotions is related to IT students’ problem-solving as well as the challenges of retention and dropout rates. We measure emotions in...
The aim of this study was to explore the relationship between communicative activities, engagement and stress for University engineering students during a mathematics lesson. The multimodal data consisted of video recordings, eye-tracking videos and physiological measurements of three students. After providing overviews of the communicative activit...
Background
Cognitive load (CL) management is essential in safety‐critical fields so that professionals can monitor and control their cognitive resources efficiently to perform and solve scenarios in a timely and safe manner, even in complex and unexpected circumstances. Thus, cognitive load theory (CLT) can be used to design virtual reality (VR) tr...
Digital technologies in teaching and learning in higher education have the potential to enhance student agency. Student agency is an essential resource to nurture, especially at times when students face challenges emerging from the volatile, uncertain, complex, and ambiguous world. In addition, contemporary policymaking has identified the importanc...
Pedagogically meaningful, research-based, and ethical learning analytics could foster the values and learning aims we want to advance in our society and educational system. However, it is essential to combine knowledge of the learning sciences and computational sciences when developing and applying learning analytics. This dissertation advances an...
Several studies have shown that complex nonlinear learning analytics (LA) techniques outperform the traditional ones. However, the actual integration of these techniques in automatic LA systems remains rare because they are generally presumed to be opaque. At the same time, the current reviews on LA in higher education point out that LA should be m...
This Research Full Paper presents an examination of the relationships between course satisfaction and student agency resources in engineering education. Satisfaction experienced in learning is known to benefit the students in many ways. However, the varying significance of the different factors of course satisfaction is not entirely clear. We used...
Making in education is an emergent practice focusing on learners as creators of things in a collaborative fashion while promoting knowledge construction through technology, design, and creative self-expression. Teachers’ (n=33) opinions about making were studied using an online questionnaire after they had attended an online course for professional...
In this paper, we use student agency analytics to examine how university students who assessed to have low agency resources describe their study experiences. Students (n=292) completed the Agency of University Students (AUS) questionnaire. Furthermore, they reported what kinds of restrictions they experienced during the university course they atten...
This paper presents a novel approach and a method of learning analytics to study student agency in higher education. Agency is a concept that holistically depicts important constituents of intentional, purposeful, and meaningful learning. Within workplace learning research, agency is seen at the core of expertise. However, in the higher education f...
Ensimmäinen artikkeli avaa kolmen toimintaympäristön kehitykseen navigoivan juttusarjan. ”Navakkaa digituulta” -artikkelissa tarkastellaan tuulimetaforan avulla megatrendien vaikutuksia tulevaisuuden oppimisen ympäristöön. Jutussa ”Viisi ympäristösignaalia” toimintaympäristöä tutkiva ryhmä tekee pistokokeita tulevaisuuteen. Ilmiöissä tarkastellaan...