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Direct linkSeifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation
On the Reliability and Validity of Human and LSA-Based Evaluations of Complex Student-Authored Texts
Seifried, Eva; Lenhard, Wolfgang; Baier, Herbert; Spinath, Birgit – Journal of Educational Computing Research, 2012
This study investigates the potential of a software tool based on Latent Semantic Analysis (LSA; Landauer, McNamara, Dennis, & Kintsch, 2007) to automatically evaluate complex German texts. A sample of N = 94 German university students provided written answers to questions that involved a high amount of analytical reasoning and evaluation.…
Descriptors: Foreign Countries, Computer Software, Computer Software Evaluation, Computer Uses in Education
Desjarlais, Malinda; Willoughby, Teena – Journal of Educational Computing Research, 2007
Having low domain knowledge is a significant constraint when using the Internet. This study examined the effectiveness of three potential supports for learners with low domain knowledge, including having plenty of time to search the Internet, using notes taken during the search when writing an essay about the topic, and having high levels of…
Descriptors: Undergraduate Students, Online Searching, Intelligent Tutoring Systems, Internet
