Intelligent Tutoring Systems for Literacy: Existing Technologies and Continuing Challenges

Autor/inn/en	Jacovina, Matthew E.; McNamara, Danielle S.
Titel	Intelligent Tutoring Systems for Literacy: Existing Technologies and Continuing Challenges
Quelle	(2017), (19 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Intelligent Tutoring Systems; Literacy Education; Educational Technology; Technology Uses in Education; Reading Comprehension; Reading Instruction; Writing Instruction; Natural Language Processing; Feedback (Response); Vocabulary Development; Grade 4; Grade 5; Grade 6; Grade 7; Grade 8; Interaction; Thinking Skills; Middle School Students; High School Students; College Students; Formative Evaluation; Scaffolding (Teaching Technique); Student Research; Writing Skills; Reading Skills + Suchen Sie Ihr Suchwort? Intelligentes Tutorsystem; Unterrichtsmedien; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Leseverstehen; Leseunterricht; Schreibunterricht; Natürliche Sprache; Wortschatzarbeit; School year 04; 4. Schuljahr; Schuljahr 04; School year 05; 5. Schuljahr; Schuljahr 05; School year 06; 6. Schuljahr; Schuljahr 06; School year 07; 7. Schuljahr; Schuljahr 07; School year 08; 8. Schuljahr; Schuljahr 08; Interaktion; Denkfähigkeit; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; High school; High schools; Oberschule; Studentin; Collegestudent; Studentenforschung; Writing skill; Schreibfertigkeit; Reading skill; Lesefertigkeit
Abstract	In this chapter, we describe several intelligent tutoring systems (ITSs) designed to support student literacy through reading comprehension and writing instruction and practice. Although adaptive instruction can be a powerful tool in the literacy domain, developing these technologies poses significant challenges. For example, evaluating the quality of a student's writing can be challenging because of the numerous ways to succeed (or fail) when generating a written work. Throughout our discussion, we focus on the methodologies that ITSs have employed to face these challenges. Natural language processing techniques, for example, can be leveraged to assess students' level of comprehension or writing proficiency and subsequently drive the feedback that students receive. Additional challenges arise in the implementation of these systems in classrooms; we discuss how the features and flexibility offered by ITSs can augment their usefulness in these real-world settings. We conclude the chapter by forecasting how future generations of ITSs for literacy will improve and fit into the educational landscape. [At time of submission to ERIC this chapter was in press with R. Atkinson (Ed.), "Intelligent Tutoring Systems: Structure, Applications and Challenges." Hauppauge, NY: Nova Science Publishers Inc.] (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01