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Peer reviewed
Direct linkKaratas, Kasim; Arpaci, Ibrahim; Yildirim, Yusuf – Education and Urban Society, 2023
This study aimed to predict the culturally responsive teacher roles based on cultural intelligence and self-efficacy using machine learning classification algorithms. The research group consists of 415 teachers from different branches. The Bayes classifier (NaiveBayes), logistic-regression (SMO), lazy-classifier (KStar), meta-classifier…
Descriptors: Prediction, Culturally Relevant Education, Teacher Role, Cultural Awareness
Kerner, Alexander Michael; Biedermann, Uta; Bräuer, Lars; Caspers, Svenja; Doll, Sara; Engelhardt, Maren; Filler, Timm J.; Ghebremedhin, Estifanos; Gundlach, Stefanie; Hayn-Leichsenring, Gregor U.; Heermann, Stephan; Hettwer-Steeger, Ingrid; Hiepe, Laura; Hirt, Bernhard; Hirtler, Lena; Hörmann, Romed; Kulisch, Christoph; Lange, Tobias; Leube, Rudolf; Meuser, Annika Hela; Müller-Gerbl, Magdalena; Nassenstein, Christina; Neckel, Peter H.; Nimtschke, Ute; Paulsen, Friedrich; Prescher, Andreas; Pretterklieber, Michael; Schliwa, Stefanie; Schmidt, Katja; Schmiedl, Andreas; Schomerus, Christof; Schulze-Tanzil, Gundula; Schumacher, Udo; Schumann, Sven; Spindler, Volker; Streicher, Johannes; Tschernig, Thomas; Unverzagt, Axel; Valentiner, Ursula; Viebahn, Christoph; Wedel, Thilo; Weigner, Janet; Weninger, Wolfgang J.; Westermann, Jürgen; Weyers, Imke; Waschke, Jens; Hammer, Niels – Anatomical Sciences Education, 2023
Hands-on courses utilizing preserved human tissues for educational training offer an important pathway to acquire basic anatomical knowledge. Owing to the reevaluation of formaldehyde limits by the European Commission, a joint approach was chosen by the German-speaking anatomies in Europe (Germany, Austria, Switzerland) to find commonalities among…
Descriptors: Anatomy, Hands on Science, Human Body, Laboratory Procedures
Thomas, Rebecca P.; Wittke, Kacie; Blume, Jessica; Mastergeorge, Ann M.; Naigles, Letitia – Journal of Autism and Developmental Disorders, 2023
This longitudinal study examined the degree to which standardized measures of language and natural language samples predicted later language usage in a heterogeneous sample of children with autism spectrum disorder (ASD), and how this relationship is impacted by ASD severity and interventions. Participants with a diagnosis of ASD (N = 54, 41…
Descriptors: Autism Spectrum Disorders, Prediction, Language Usage, Severity (of Disability)
Zhou, Yizhuo; Zhao, Jin; Zhang, Jianjun – Interactive Learning Environments, 2023
On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…
Descriptors: Electronic Learning, Prediction, Dropouts, Student Behavior
Supply, Anne-Sophie; Wijns, Nore; Van Dooren, Wim; Onghena, Patrick – Educational Studies in Mathematics, 2023
The many studies with coin-tossing tasks in literature show that the concept of randomness is challenging for adults as well as children. Systematic errors observed in coin-tossing tasks are often related to the representativeness heuristic, which refers to a mental shortcut that is used to judge randomness by evaluating how well a set of random…
Descriptors: Pattern Recognition, Preschool Children, Prediction, Thinking Skills
Seo, Michael; Furukawa, Toshi A.; Karyotaki, Eirini; Efthimiou, Orestis – Research Synthesis Methods, 2023
Clinical prediction models are widely used in modern clinical practice. Such models are often developed using individual patient data (IPD) from a single study, but often there are IPD available from multiple studies. This allows using meta-analytical methods for developing prediction models, increasing power and precision. Different studies,…
Descriptors: Prediction, Models, Patients, Data Analysis
Nave, Karli M.; Snyder, Joel S.; Hannon, Erin E. – Developmental Psychology, 2023
Sensitivity to auditory rhythmic structures in music and language is evident as early as infancy, but performance on beat perception tasks is often well below adult levels and improves gradually with age. While some research has suggested the ability to perceive musical beat develops early, even in infancy, it remains unclear whether adult-like…
Descriptors: Music, Auditory Perception, Individual Development, Age Differences
Möller, Annette; George, Ann Cathrice; Groß, Jürgen – International Journal of Research & Method in Education, 2023
Methods based on machine learning have become increasingly popular in many areas as they allow models to be fitted in a highly-data driven fashion and often show comparable or even increased performance in comparison to classical methods. However, in the area of educational sciences, the application of machine learning is still quite uncommon.…
Descriptors: Foreign Countries, Learning Analytics, Classification, Artificial Intelligence
Al-Alawi, Lamees; Al Shaqsi, Jamil; Tarhini, Ali; Al-Busaidi, Adil S. – Education and Information Technologies, 2023
This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases (KDD) methodology on a sample of N = 6514 college students spanning 11 years (from 2009 to 2019) provided…
Descriptors: Artificial Intelligence, Predictor Variables, Academic Achievement, Grade Prediction
Download full textBaker, Ryan S.; Esbenshade, Lief; Vitale, Jonathan; Karumbaiah, Shamya – Journal of Educational Data Mining, 2023
Predictive analytics methods in education are seeing widespread use and are producing increasingly accurate predictions of students' outcomes. With the increased use of predictive analytics comes increasing concern about fairness for specific subgroups of the population. One approach that has been proposed to increase fairness is using demographic…
Descriptors: Demography, Data Use, Prediction, Research Methodology
Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Computing Research, 2023
There is a dearth of knowledge on how persuasiveness of influence strategies affects students' behaviours when using online educational systems. Persuasiveness is a term used in describing a system's capability to motivate desired behaviour. Most existing approaches for assessing the persuasiveness of a system are based on subjective measures…
Descriptors: Influences, Student Behavior, Artificial Intelligence, Electronic Learning
Dirix, Helene; Ross, Veerle; Brijs, Kris; Bertels, Laura; Alhajyaseen, Wael; Brijs, Tom; Wets, Geert; Spooren, Annemie – Autism: The International Journal of Research and Practice, 2023
Community participation and the formation of social networks are crucial for a qualitative life. To this end, transportation plays an essential role. Many autistic people rely on public transportation for their mobility needs. However, research shows that it is not always easy for them to use it. The issues they face when using public bus…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Bus Transportation, Adults
Xia, Xiaona; Qi, Wanxue – International Journal of Educational Technology in Higher Education, 2023
The temporal sequence of learning behavior is multidimensional and continuous in MOOCs. On the one hand, it supports personalized learning methods, achieves flexible time and space. On the other hand, it also makes MOOCs produce a large number of dropouts and incomplete learning behaviors. Dropout prediction and decision feedback have become an…
Descriptors: MOOCs, Dropouts, Prediction, Decision Making
Jieun Song; Byungjun Kim; Minjeong Kim; Paul Iverson – Journal of Speech, Language, and Hearing Research, 2023
Purpose: The aim of this study was to develop and validate a large Korean sentence set with varying degrees of semantic predictability that can be used for testing speech recognition and lexical processing. Method: Sentences differing in the degree of final-word predictability (predictable, neutral, and anomalous) were created with words selected…
Descriptors: Auditory Perception, Recognition (Psychology), Sentences, Semantics
Hodds, Mark – Teaching Mathematics and Its Applications, 2023
The COVID-19 pandemic has affected the way we learn, teach and support students in many different ways. In particular, the impact of the pandemic on the mathematical capabilities of students arriving at university is now starting to be seen and reported. Students arriving at UK universities in 2021, and having completed their A levels in 2021, had…
Descriptors: COVID-19, Pandemics, Mathematics Education, Competence
