Thesis (M.Ed.)--University of Hong Kong, 1987. / Includes bibliographical references (leaf 75-84). Also available in print.

Emotions play a significant role in many human mental activities, including decision-making, motivation, and cognition. Various intelligent and expert systems can be empowered with emotionally intelligent capabilities, especially systems that interact with humans and mimic human behaviour. However, most current methods in affect recognition studies use intrusive, lab-based, and expensive tools which are unsuitable for real-world situations. Inspired by studies on keystrokes dynamics, this thesis investigates the effectiveness of diagnosing users’ affect through their typing behaviour in an educational context. To collect users’ typing patterns, a field study was conducted in which subjects used a dialogue-based tutoring system built by the researcher. Eighteen dialogue features associated with subjective and objective ratings for users’ emotions were collected. Several classification techniques were assessed in diagnosing users’ affect, including discrimination analysis, Bayesian analysis, decision trees, and neural networks. An artificial neural network approach was ultimately chosen as it yielded the highest accuracy compared with the other methods. To lower the error rate, a hierarchical classification was implemented to first classify user emotions based on their valence (positive or negative) and then perform a finer classification step to determining which emotions the user experienced (delighted, neutral, confused, bored, and frustrated). The hierarchical classifier was successfully able to diagnose users' emotional valence, while it was moderately able to classify users’ emotional states. The overall accuracy obtained from the hierarchical classifier significantly outperformed previous dialogue-based approaches and in line with some affective computing methods.

In this qualitative case study, I examined a local summer literacy camp in which graduate student tutors tutored elementary and middle school students in reading and writing. I focused the study on the primary stakeholders in the summer literacy camp: �������������������������������������� ts, and the course instructor/camp director because their voices are limited in the current literature. In this Community of Interest Summer Literacy Camp, the graduate student tutors moved from a position of fear and trepidation to a position of empowerment in which they hoped to make changes in their classrooms, schools, and communities. The tutees learned to appreciate the tutoring program and some tutees began to understand tutoring could be an enrichment experience rather than only a remedial experience. There was limited parental participation in the tutoring program and that may have hindered a richer experience in which parents learned strategies to help their child/children excel in reading and writing.

Den här artikelns syfte är att undersöka lärares uppfattningar av handledda gruppsamtal som medel i lärares professionsutveckling. Studien är kvalitativ och tar utgångspunkt teoretiskt och metodologiskt i fenomenografin. Nio lärare har intervjuats på en grundskola i Jönköpings kommun, 2011. I resultaten framkommer att frågandet har en central roll i handledningssamtalet vilket möjliggör fördjupad reflektion med perspektivvidgning som leder till ett förändrat tankesätt hos lärare. Undervisningen utvecklas och anpassas till eleverna, som en följd av handledningen. / The purpose of this article is to investigateteachers´ perceptions of supervised groups as means of teacher professionaldevelopment. The study is qualitative, basing theoretically and methodologicallyin phenomenography. Nine teachers were interviewed at an elementary school inJönköping municipality, 2011. The results show that questioning has a centralrole in the supervised discussions enabling deeper reflection with perspectivedilation leading to a changed mindset among teachers. The teaching evolves andadapts to the particular students as a result of counseling.

Emotions play a significant role in many human mental activities, including decision-making, motivation, and cognition. Various intelligent and expert systems can be empowered with emotionally intelligent capabilities, especially systems that interact with humans and mimic human behaviour. However, most current methods in affect recognition studies use intrusive, lab-based, and expensive tools which are unsuitable for real-world situations. Inspired by studies on keystrokes dynamics, this thesis investigates the effectiveness of diagnosing users’ affect through their typing behaviour in an educational context. To collect users’ typing patterns, a field study was conducted in which subjects used a dialogue-based tutoring system built by the researcher. Eighteen dialogue features associated with subjective and objective ratings for users’ emotions were collected. Several classification techniques were assessed in diagnosing users’ affect, including discrimination analysis, Bayesian analysis, decision trees, and neural networks. An artificial neural network approach was ultimately chosen as it yielded the highest accuracy compared with the other methods. To lower the error rate, a hierarchical classification was implemented to first classify user emotions based on their valence (positive or negative) and then perform a finer classification step to determining which emotions the user experienced (delighted, neutral, confused, bored, and frustrated). The hierarchical classifier was successfully able to diagnose users' emotional valence, while it was moderately able to classify users’ emotional states. The overall accuracy obtained from the hierarchical classifier significantly outperformed previous dialogue-based approaches and in line with some affective computing methods.

Dieser Beitrag beschreibt ein offenes Peer-Tutoring-Konzept, in dem studentische Tutoren die Betreuung von Studienanfängern im Kontext einer onlinebasierten Einführungsveranstaltung selbstorganisiert gestalten. Nach einem Überblick über Betreuungsbedarfe und alternative Betreuungsmodelle im Hochschulbereich werden konzeptionelle Grundlagen, Kontext, Ziele und Ausgestaltung des tutoriellen Betreuungsmodells vorgestellt. Auf Basis einer explorativen Analyse der Tutorentätigkeiten mit Hilfe eines Tagebuch-Verfahrens werden Implikationen für die Gestaltung offener Tutorenkonzepte diskutiert.

Thesis (M. Ed.)--University of Hong Kong, 1995. / Includes bibliographical references (leaf 87-95).

Thesis (M. Ed.)--University of Hong Kong, 1996. / Includes bibliographical references (leaf 87-89).

Thesis (M. Ed.)--University of Hong Kong, 1998. / Includes bibliographical references (leaves 170-183).

Thesis (M. Ed.)--University of Hong Kong, 1993.