Zobrazeno 1 - 10
of 1 185
pro vyhledávání: '"Process data"'
Publikováno v:
Large-scale Assessments in Education, Vol 12, Iss 1, Pp 1-33 (2024)
Abstract As the use of process data in large-scale educational assessments is becoming more common, it is clear that data on examinees’ test-taking behaviors can illuminate their performance, and can have crucial ramifications concerning assessment
Externí odkaz:
https://doaj.org/article/92585954306d4866a73ab946a8e643b3
Publikováno v:
Computers and Education Open, Vol 7, Iss , Pp 100198- (2024)
The adoption of intelligent tutoring systems (ITSs) worldwide has led to a considerable accumulation of process data as students interact with different learning topics within these systems. Typically, these learning topics are structured within ITSs
Externí odkaz:
https://doaj.org/article/38e61719c75e4f7f9c61fb615392aa48
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35945- (2024)
The process data in computer-based problem-solving evaluation is rich in valuable implicit information. However, its diverse and irregular structure poses challenges for effective feature extraction, leading to varying degrees of information loss in
Externí odkaz:
https://doaj.org/article/9ab76754f82f40d1b62217841fda77b8
Publikováno v:
Frontiers in Education, Vol 9 (2024)
Mental rotation (MR), a key aspect of spatial reasoning, is highly predictive of success in STEM fields. This study analyzed strategies employed by 27,600 eighth-grade students during a digital MR task from the 2017 National Assessment of Educational
Externí odkaz:
https://doaj.org/article/d97004dd20714d989afa097e16acb7e6
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
IntroductionDespite the necessity for adults with lower literacy skills to undergo and succeed in high-stakes computer-administered assessments (e.g., GED, HiSET), there remains a gap in understanding their engagement with digital literacy assessment
Externí odkaz:
https://doaj.org/article/68fd5225cf4d4f5a96c6b00e25771309
Publikováno v:
Large-scale Assessments in Education, Vol 12, Iss 1, Pp 1-14 (2024)
Abstract Test-taking behavior is a potential source of construct irrelevant variance for test scores in international large-scale assessments where test-taking effort, motivation, and behaviors in general tend to be confounded with test scores. In an
Externí odkaz:
https://doaj.org/article/6dcb200fcefd450191083dcacd4ff45c
Publikováno v:
Analytics, Vol 2, Iss 4, Pp 877-898 (2023)
Learning analytics (LA) has the potential to significantly improve teaching and learning, but there are still many areas for improvement in LA research and practice. The literature highlights limitations in every stage of the LA life cycle, including
Externí odkaz:
https://doaj.org/article/02a122bc4a2843b2babb5c9474ca22e9
Publikováno v:
Large-scale Assessments in Education, Vol 11, Iss 1, Pp 1-28 (2023)
Abstract Process data are becoming more and more popular in education research. In the field of computer-based assessments of collaborative problem solving (ColPS), process data have been used to identify students’ test-taking strategies while work
Externí odkaz:
https://doaj.org/article/51fe8f5b076d484ea094505fe3f283c2
Publikováno v:
Large-scale Assessments in Education, Vol 11, Iss 1, Pp 1-14 (2023)
Abstract Unfavorable test-taking behaviors, such as speededness and disengagement, have long been a validity concern for large-scale low-stakes assessments. Understanding the presence and extent of such behaviors is important for ensuring the validit
Externí odkaz:
https://doaj.org/article/a29c1468886440c094f806e33eaf71c9
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 2(SI) (2024)
Most companies use social media data for business. Sentiment analysis automatically gathers analyses and summarizes this type of data. Managing unstructured social media data is difficult. Noisy data is a challenge to sentiment analysis. Since over 5
Externí odkaz:
https://doaj.org/article/fe15e2c8d5c743059209f205ccd5e499