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Lundgren, Erik; Eklöf, Hanna – Educational Research and Evaluation, 2020
The present study used process data from a computer-based problem-solving task as indications of behavioural level of test-taking effort, and explored how behavioural item-level effort related to overall test performance and self-reported effort. Variables were extracted from raw process data and clustered. Four distinct clusters were obtained and…
Descriptors: Computer Assisted Testing, Problem Solving, Response Style (Tests), Test Items
OECD Publishing, 2019
Log files from computer-based assessment can help better understand respondents' behaviours and cognitive strategies. Analysis of timing information from Programme for the International Assessment of Adult Competencies (PIAAC) reveals large differences in the time participants take to answer assessment items, as well as large country differences…
Descriptors: Adults, Computer Assisted Testing, Test Items, Reaction Time
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von Zansen, Anna; Hilden, Raili; Laihanen, Emma – International Journal of Listening, 2022
In this study, we used the Rasch measurement to investigate the fairness of the listening section of a national computerized high-stakes English test for differential item functioning (DIF) across gender subgroups. The computerized test format inspired us to investigate whether the items measure listening comprehension differently for females and…
Descriptors: High Stakes Tests, Listening Comprehension Tests, Listening Comprehension, Gender Differences
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Christopoulos, Athanasios; Kajasilta, Henri; Salakoski, Tapio; Laakso, Mikko-Jussi – Journal of Educational Technology Systems, 2020
The vast development and expansion of educational technology has led to the deconstruction of various barriers and challenges that the traditional approaches were incapable of overcoming. However, a field that still holds a great deal of interest and needs to be strengthened concerns the practices that surround mathematics education. Digital…
Descriptors: Elementary School Mathematics, Mathematics Instruction, Educational Technology, Technology Uses in Education
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Eteläpeltoa, Anneli; Kykyri, Virpi-Liisa; Penttonen, Markku; Hökkä, Päivi; Paloniemi, Susanna; Vähäsantanen, Katja; Eteläpelto, Tuomas; Lappalainen, Vesa – Frontline Learning Research, 2018
Studies on emotions in learning are often based on interviews conducted after the learning. These do not capture the multi-componential nature of emotions, nor how emotions are related to the processes of learning. We see emotions as dimensional, multi-componential responses to personally meaningful events and situations. In this methodologically…
Descriptors: Emotional Response, Learning Processes, Professional Development, Measurement Techniques
Lokkila, Erno; Kaila, Erkki; Lindén, Rolf; Laakso, Mikko-Jussi; Sutinen, Erkki – International Association for Development of the Information Society, 2016
The CS0 course in the curriculum typically has the role of introducing students into basic concepts and terminology of computer science. Hence, it is used to form a base on which the subsequent programming courses can build on. However, much of the effort to build better methodologies for courses is spent on introductory programming courses…
Descriptors: Educational Technology, Technology Uses in Education, Engineering Education, College Students
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Lokkila, Erno; Kaila, Erkki; Lindén, Rolf; Laakso, Mikko-Jussi; Sutinen, Erkki – Interactive Technology and Smart Education, 2017
Purpose: The purpose of this paper was to determine whether applying e-learning material to a course leads to consistently improved student performance. Design/methodology/approach: This paper analyzes grade data from seven instances of the course. The first three instances were performed traditionally. After an intervention, in the form of…
Descriptors: Active Learning, Engineering Education, Teaching Methods, Grades (Scholastic)
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Miguel Baptista Nunes Ed.; Pedro Isaias Ed. – International Association for Development of the Information Society, 2022
These proceedings contain the papers of the 16th International Conference on e-Learning (EL 2022), which was organised by the International Association for Development of the Information Society, 19-21 July, 2022. This conference is part of the 16th Multi Conference on Computer Science and Information Systems 2022, 19-22 July, which had a total of…
Descriptors: Electronic Learning, Online Courses, Educational Technology, COVID-19
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Kuikka, Matti; Laakso, Mikko-Jussi; Joshi, Marjo – Journal of Educational Technology Systems, 2016
This article outlines the effect of the collaborative educational tool ViLLE when learning business mathematics in higher education. ViLLE validates students' answers during the assessment process and provides immediate feedback, enabling students to receive feedback and guidance about the correctness of their answers. The learning results in the…
Descriptors: Feedback (Response), Mathematics Instruction, Higher Education, College Mathematics
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Auvinen, Tapio; Hakulinen, Lasse; Malmi, Lauri – IEEE Transactions on Learning Technologies, 2015
In online learning environments where automatic assessment is used, students often resort to harmful study practices such as procrastination and trial-and-error. In this paper, we study two teaching interventions that were designed to address these issues in a university-level computer science course. In the first intervention, we used achievement…
Descriptors: Student Behavior, Electronic Learning, Online Courses, Computer Assisted Testing
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection