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ASSESSMENT OF STUDENTS' COGNITIVE–AFFECTIVE STATES IN LEARNING WITHIN A COMPUTER-BASED ENVIRONMENT: EFFECTS ON PERFORMANCE

Ruili Wang, Hokyoung Ryu, Norliza Katuk
2015 Journal of Information and Communication Technology  
Students were classifi ed according to their prior knowledge to element the effects of it on performance.  ...  Then, non-parametric statistical tests were conducted on different pairs of cluster of the cognitive-affective states and prior knowledge to determine differences on students' performance.  ...  Many students were engaged in the given computer-based learning tasks especially from the high-prior knowledge cluster.  ... 
doi:10.32890/jict2015.14.0.8161 fatcat:emzordwl2ngk5oyhma2okgv5wi

Instructor guided personalization of learning path adopting SCORM

Harihar Bhojak, Sandesh Jain, V. Muralidharan
2012 2012 4th International Congress on Engineering Education  
The proposed system reduces the time and burden of the instructor by considering the group of learners rather than individuals, achieved through clustering the groups based on their similar learning styles  ...  Prior knowledge and learning styles are the two major parameters considered here for personalizing a course.  ...  And instructors are also been chosen based on their knowledge profile. R. M.  ... 
doi:10.1109/iceed.2012.6779280 fatcat:xq7zwrz3hjcxfigkdojguk7kzi

Data-Driven Learner Profiling Based on Clustering Student Behaviors: Learning Consistency, Pace and Effort [chapter]

Shirin Mojarad, Alfred Essa, Shahin Mojarad, Ryan S. Baker
2018 Lecture Notes in Computer Science  
We group these students into a set of clusters using six key characteristics, using their data from the first half of the semester, including their prior knowledge, number of assessments, average days  ...  We used mean-shift clustering to select a number of clusters, and k-mean clustering to identify distinct student profiles.  ...  Acknowledgements This paper is based on work supported by the McGraw-Hill Education Digital Platform Group.  ... 
doi:10.1007/978-3-319-91464-0_13 fatcat:ecf4pnjegncr3fir7b6l5eq7fi

An Examination of Learning Profiles in Physical Education

Bo Shen, Ang Chen
2007 Journal of teaching in physical education  
A hierarchical cluster analysis was conducted to determine what kinds of learning profiles would result from the interactions among prior knowledge, learning strategies, and interest.  ...  Using the model of domain learning as a theoretical framework, the study was designed to examine the extent to which learners' initial learning profiles based on previously acquired knowledge, learning  ...  The aim of cluster analysis was to identify homogeneous groups or clusters based on their shared characteristics.  ... 
doi:10.1123/jtpe.26.2.145 fatcat:csbkesyohjdgbf7ondj6nne3bu

The impact of learner characteristics on information utilization strategies, cognitive load experienced, and performance in hypermedia learning

Katharina Scheiter, Peter Gerjets, Brigitte Vollmann, Richard Catrambone
2009 Learning and Instruction  
Based on the data of 79 students, five clusters of students were identified according to their learner characteristics by means of a cluster analysis.  ...  ., higher prior knowledge, more complex epistemological beliefs, more positive attitudes towards mathematics, better cognitive and metacognitive strategy use) tended to show a more adaptive example utilization  ...  Prior knowledge guides information selection, whereby students with high prior knowledge are better able to identify their knowledge needs and make their selections accordingly (Gall & Hannafin, 1994;  ... 
doi:10.1016/j.learninstruc.2009.02.004 fatcat:dw5zmfeignd3hejwfiu6qhsrbe

Mining User's Behaviors in Intelligent Educational Games: Prime Climb a Case Study

Alireza Davoodi, Samad Kardan, Cristina Conati
2013 Educational Data Mining  
The results show that the students with significantly higher prior knowledge about the domain behave differently from those with lower prior knowledge as they play the game and that pattern could be identified  ...  This paper presents work on applying clustering and association rule mining techniques to mine users' behavior in interacting with an intelligent educational game, Prime Climb.  ...  As for future work, an online classifier will be built which identifies frequent patterns of interaction in the students and classify them into different groups in real time and leverages such information  ... 
dblp:conf/edm/DavoodiKC13 fatcat:4hohxxo77vaklbeqw55ppgg5cu

Using multiple Dirichlet distributions to improve parameter plausibility

Yue Gong, Joseph E. Beck, Neil T. Heffernan
2010 Educational Data Mining  
We show that modeling groups of students separately based on their distributional similarities produces model parameters that provide a more plausible picture of student knowledge, even though the proposed  ...  Knowledge tracing, the most commonly used approach, suffers from local maxima and multiple global maxima. Prior work has shown that using Dirichlet priors improves model parameter plausibility.  ...  Based on students' prior knowledge and learning parameters, we calculated the number of practice opportunities required until the predicted knowledge exceeds 0.95.  ... 
dblp:conf/edm/GongBH10 fatcat:5bcdmdvgmvhonh6tysglfapoua

Learner Differences in the Online Context: Introducing a New Method [chapter]

Arne Hendrik Schulz, Debora Jeske
2014 IFIP Advances in Information and Communication Technology  
The paper introduces an alternative method to analyze different learning styles among students.  ...  This method was developed as an alternative to more traditional methods such as hierarchical cluster analysis.  ...  Visualized cluster differences In order to label the three clusters of e-learners coherently, we decided to label the clusters first and foremost based on their level of prior knowledge as e-learning experts  ... 
doi:10.1007/978-3-662-45770-2_26 fatcat:hygdvflckbdf3nx3obgl4yq7vq

Measuring and Responding to Variation in Aspects of Students' Economic Conceptions and Learning Engagement in Economics

Martin P. Shanahan, Jan H.F. Meyer
2003 International Review of Economic Education  
their impact on students' prior knowledge.  ...  Meyer and Shanahan (1999) introduced an embryonic model of student learning in economics based on an initial consideration of various forms of school-leaving prior knowledge, including (a) subject-specific  ...  At the other extreme of outcomes performance, the trajectory of Cluster 5 (n =11) is again unproblematic Figure 3c , based on students with no prior knowledge of economics gained at school, reveals less  ... 
doi:10.1016/s1477-3880(15)30209-7 fatcat:zygvag2pgnhe5l5f7ppbezq33u

Multi-agent system for Knowledge-based recommendation of Learning Objects

Paula Andrea RODRÍGUEZ MARÍN, Néstor DUQUE, Demetrio OVALLE
2015 Advances in Distributed Computing and Artificial Intelligence Journal  
Multi-agent system for Knowledge-based recommendation of Learning Objects using metadata clustering Knowledge-based recommender agent: When the student enters the system to search resource, this agent  ...  In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed.  ...  The search LO result are recommended according to learning style, evaluation by other users and students prior knowledge. Prior knowledge are LO evaluated by students in the past.  ... 
doi:10.14201/adcaij2015418089 fatcat:tn3y4czx6bh2rdlpg6ynhmorr4

Automatically detecting previous programming knowledge from novice programmer code compilation history

Erno Lokkila, Athanasios Christopoulos, Mikko-Jussi Laakso
2022 Informatics in Education. An International Journal  
We show that the created clusters have statistically different means for student prior knowledge in programming, when measured on a Likert scale of 1-5.  ...  Prior programming knowledge of students has a major impact on introductory programming courses. Those with prior experience often seem to breeze through the course.  ...  We used the k-means clustering algorithm to cluster students based on their transition matrices.  ... 
doi:10.15388/infedu.2023.15 fatcat:bigybm2dibdcvdf2tkidm226u4

Outcomes of a Drug Dosage Calculation Training Smartphone App on Learning Achievement, Metacognition, and Flow State According to Prior Knowledge

Kyung Park, Myoung Kim
2018 Eurasia Journal of Mathematics, Science and Technology Education  
The purpose of this study was to define the effectiveness of a smartphone-based dosage calculation training app on nursing students' learning achievement, metacognition, and flow based on prior knowledge  ...  A smartphone-based calculation training app improves calculation achievement, metacognition, and flow among students with higher prior knowledge.  ...  students' learning achievement, metacognition, and flow based on prior knowledge?"  ... 
doi:10.29333/ejmste/90984 fatcat:7x2evluyejga5etcf6ywkhpcvq

Investigation of the Use of Navigation Tools in Web-Based Learning: A Data Mining Approach

Christine G. Minetou, Sherry Y. Chen, Xiaohui Liu
2008 International Journal of Human-Computer Interaction  
The results indicate that prior knowledge and subject content are two potential factors influencing the use of navigation tools.  ...  Web-based learning is widespread in educational settings. The popularity of web-based learning is due in great measure to its flexibility. Multiple navigation tools provided some of this flexibility.  ...  Study One investigated the effects of prior knowledge in a web-based learning program that taught students procedural knowledge, i.e.  ... 
doi:10.1080/10447310701771480 fatcat:por6t3pdlraa5oomahqlvpdq5q

Adolescent Profiles of Knowledge And Epistemic Beliefs in the Context of Reading Multiple Texts

Leila Ferguson, Ivar Bråten, Helge I. Strømsø, Øistein Anmarkrud
2012 International Conference of the Learning Sciences  
Clusters differed significantly regarding multiple-text comprehension, with low prior knowledge/moderate personal justification students displaying poorer comprehension of texts on an unsettled scientific  ...  We identified two clusters that were labeled low prior knowledge/moderate personal justification and moderate prior knowledge/low personal justification.  ...  Specifically, the configuration of students' prior knowledge and beliefs about justification of knowledge claims by personal means seems to play a role in their comprehension of a complex scientific issue  ... 
dblp:conf/icls/FergusonBSA12 fatcat:kydf6sukh5fqjaqb6yh7hrcthm

Individual differences in the preference for worked examples: lessons from an application of dispositional learning analytics

2020 Applied Cognitive Psychology  
This study investigates different profiles of students' learning behaviours based on clustering learning dispositions, prior knowledge, and the choice of feedback strategies in a naturalistic setting.  ...  The study was conducted on 1,072 students over an 8-week long introductory mathematics course in a blended instructional format.  ...  The sixth and last cluster is the only cluster not described by activity level, but by prior knowledge/school- ing.Students in the 'High prior knowledge' profile score highest on the diagnostic entry test  ... 
doi:10.1002/acp.3652 fatcat:zte6pxrmnneq3d42g2zkemzone
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