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Salas-Pilco, Sdenka Zobeida – British Journal of Educational Technology, 2020
This qualitative study examines the use of artificial intelligence (AI) and robotics in learning designs from the perspective of learning sciences. The literature on the topic indicates that there is not enough research on including diverse learning outcomes in the designs for learning. Therefore, the purpose of this study was to understand how AI…
Descriptors: Artificial Intelligence, Robotics, Instructional Effectiveness, Outcomes of Education
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Dindar, Muhterem; Järvelä, Sanna; Haataja, Eetu – British Journal of Educational Technology, 2020
There is a growing body of research on physiological synchrony (PS) in Collaborative Problem Solving (CPS). However, the current literature presents inconclusive findings about the way in which PS is reflected in cognitive and affective group processes and performance. In light of this, this study investigates the relationship between PS and…
Descriptors: College Students, Metacognition, Physiology, Problem Solving
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Beardsley, Marc; Martínez Moreno, Judit; Vujovic, Milica; Santos, Patricia; Hernández-Leo, Davinia – British Journal of Educational Technology, 2020
Advances in the field of multimodal learning analytics (MMLA) research is often accomplished by actively exploring new technologies and techniques related to the collection and analysis of data. Exploration of ethical principles and procedures for governing the use of new technologies and techniques, however, is not as readily pursued. As…
Descriptors: Records (Forms), Decision Making, Data Collection, Learning Analytics
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Vujovic, Milica; Hernández-Leo, Davinia; Tassani, Simone; Spikol, Daniel – British Journal of Educational Technology, 2020
The current knowledge of the effects of the physical environment on learners' behaviour in collaborative problem-solving tasks is underexplored. This paper aims to critically examine the potential of multimodal learning analytics, using new data sets, in studying how the shapes of shared tables affect the learners' behaviour when collaborating in…
Descriptors: Educational Environment, Physical Environment, Furniture, Educational Equipment
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Qin, Fen; Li, Kai; Yan, Jianyuan – British Journal of Educational Technology, 2020
Artificial Intelligence (AI) has penetrated the field of education. Trust has long been regarded as a driver for the acceptance of technology. Netnography and interviews were used to investigate trust in AI-based educational systems from the perspective of users. We identified the factors influencing trust in AI-based educational systems and…
Descriptors: Trust (Psychology), Artificial Intelligence, Classification, Context Effect
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Wang, Shanyong; Yu, Haotian; Hu, Xianfeng; Li, Jun – British Journal of Educational Technology, 2020
The advancement of technology, especially the development and application of artificial intelligence, has deeply affected the education sector and brought opportunities for pedagogical adaptation. Intelligent tutoring systems, a major application of artificial intelligence in education, have drawn extensive concerns. However, in reality, the…
Descriptors: College Faculty, Teacher Attitudes, Technology Integration, Intelligent Tutoring Systems
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Ahn, Byunghoon; Harley, Jason M. – British Journal of Educational Technology, 2020
Learning analytics (LA) incorporates analyzing cognitive, social and emotional processes in learning scenarios to make informed decisions regarding instructional design and delivery. Research has highlighted important roles that emotions play in learning. We have extended this field of research by exploring the role of emotions in a relatively…
Descriptors: Nonverbal Communication, Computer Software, LGBTQ People, Data Analysis
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Larmuseau, Charlotte; Cornelis, Jan; Lancieri, Luigi; Desmet, Piet; Depaepe, Fien – British Journal of Educational Technology, 2020
To have insight into cognitive load (CL) during online complex problem solving, this study aimed at measuring CL through physiological data. This study experimentally manipulated intrinsic and extraneous load of exercises in the domain of statistics, resulting in four conditions: high complex with hints, low complex with hints, high complex…
Descriptors: Learning Analytics, Problem Solving, Electronic Learning, Cognitive Processes
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Moon, Jewoong; Ke, Fengfeng; Sokolikj, Zlatko – British Journal of Educational Technology, 2020
Tracking students' learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable of tracking learners' cognitive and emotional states during virtual reality (VR)-based representational-flexibility training. This VR-based training program aims to…
Descriptors: Adolescents, Autism, Pervasive Developmental Disorders, Learning Processes
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Guggemos, Josef; Seufert, Sabine; Sonderegger, Stefan – British Journal of Educational Technology, 2020
This study investigates the acceptance of social robots by higher education students in the social sciences. Pepper, a humanoid social robot from SoftBank Robotics, provided a sample of its capabilities during a first semester, large-scale, university course, "Introduction to academic writing."From this course, 462 freshmen participated…
Descriptors: Robotics, Technology Uses in Education, Higher Education, Social Sciences
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Yueh, Hsiu-Ping; Lin, Weijane; Wang, S.-Chen; Fu, Li-Chen – British Journal of Educational Technology, 2020
Motivated by mixed evidence on the effectiveness of reading companions on children's reading performance, as well as the clear and present need for libraries to conduct literacy education, this study sought to investigate the feasibility of using social robots in library literacy activities and to extract the essential functions of effective…
Descriptors: Robotics, Technology Uses in Education, Reading Instruction, Library Services
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Standen, Penelope J.; Brown, David J.; Taheri, Mohammad; Galvez Trigo, Maria J.; Boulton, Helen; Burton, Andrew; Hallewell, Madeline J.; Lathe, James G.; Shopland, Nicholas; Blanco Gonzalez, Maria A.; Kwiatkowska, Gosia M.; Milli, Elena; Cobello, Stefano; Mazzucato, Annaleda; Traversi, Marco; Hortal, Enrique – British Journal of Educational Technology, 2020
Artificial intelligence tools for education (AIEd) have been used to automate the provision of learning support to mainstream learners. One of the most innovative approaches in this field is the use of data and machine learning for the detection of a student's affective state, to move them out of negative states that inhibit learning, into…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Identification
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Geng, Shuang; Niu, Ben; Feng, Yuanyue; Huang, Miaojia – British Journal of Educational Technology, 2020
Despite the popularity of massive open online courses (MOOCs), only a small portion of the course participants successfully complete the course. The low completion rate can be partially attributed to the mismatch between the participants' expectations and value delivered by the courses. Therefore, this study leverages MOOC reviews to investigate…
Descriptors: Online Courses, Electronic Learning, Man Machine Systems, Psychological Patterns
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Sun, Geng; Lin, Jiayin; Shen, Jun; Cui, Tingru; Xu, Dongming; Kayastha, Mahesh – British Journal of Educational Technology, 2020
Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an…
Descriptors: Learning Activities, Data Analysis, Open Education, Computer Software
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Fu, Shixuan; Gu, Huimin; Yang, Bo – British Journal of Educational Technology, 2020
Traditional educational giants and natural language processing companies have launched several artificial intelligence (AI)-enabled digital learning applications to facilitate language learning. One typical application of AI in digital language education is the automatic scoring application that provides feedback on pronunciation repeat outcomes.…
Descriptors: Affordances, Artificial Intelligence, Computer Assisted Testing, Scoring
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