Developing sound tutor training for online writing centers: creating productive peer reviewers

It is our experience that tutors trained for face-to-face writing centers are not adequately prepared for the challenges they encounter working with online writing centers. The purpose of our article is to provide an overview—especially for administrators, developers, and tutors new to electronic tutoring environments—of the issues and considerations unique to online tutoring that training programs need to address. In our discussion, we hope to engender enthusiasm for online tutoring by discussing three aspects of online tutoring: appreciating text-only environments, developing procedures for responding online, and creating appropriate roles for online tutors. We offer suggestions about how to address these three aspects in online tutor training, and we suggest that addressing these issues leads to an understanding of the online tutor as a productive peer reviewer.     

Cross-age peer tutors in asynchronous discussion groups: Exploring the impact of three types of tutor training on patterns in tutor support and on tutor characteristics

This study was conducted in an authentic university setting with fourth-year Educational Sciences’ students operating as online peer tutors to facilitate freshman tutees’ online collaboration and knowledge construction in a blended “Instructional Sciences” course. Taking into account prior research uncovering weaknesses in online peer tutor behaviour, the aim of the study was to explore the possibility to optimise the quality and the nature of online peer support. In this respect, the study examined the impact of three tutor training conditions (multidimensional support, model/coach, and control condition) on peer tutors’ actual tutor behaviour in asynchronous discussion groups and on tutors’ self-efficacy beliefs, perceived collective efficacy, and training evaluation. Quantitative content analysis was applied to study online peer tutor behaviour. More specifically, two coding schemes were used focusing respectively on the occurrence of different e-moderating activities and on the evolution from modeling to coaching behaviour. Tutors’ self-efficacy beliefs, perceived collective efficacy, and training evaluation were assessed by means of questionnaires.     

Designing automated adaptive support to improve student helping behaviors in a peer tutoring activity

Adaptive collaborative learning support systems analyze student collaboration as it occurs and provide targeted assistance to the collaborators. Too little is known about how to design adaptive support to have a positive effect on interaction and learning. We investigated this problem in a reciprocal peer tutoring scenario, where two students take turns tutoring each other, so that both may benefit from giving help. We used a social design process to generate three principles for adaptive collaboration assistance. Following these principles, we designed adaptive assistance for improving peer tutor help-giving, and deployed it in a classroom, comparing it to traditional fixed support. We found that the assistance improved the conceptual content of help and the use of interface features. We qualitatively examined how each design principle contributed to the effect, finding that peer tutors responded best to assistance that made them feel accountable for help they gave.     

International on-line reciprocal peer tutoring to promote modern language development in primary schools

The paper reports data from an on-line peer tutoring project. In the project 78, 9–12-year-old students from Scotland and Catalonia peer tutored each other in English and Spanish via a managed on-line environment. Significant gains in first language (Catalonian pupils) modern language (Scottish pupils) and attitudes towards modern languages (both Catalonian and Scottish pupils) were reported for the experimental group as compared to the control group. Results indicated that pupils tutored each other in using Piagetian techniques of error correction during the project. Error correction provided by tutors to tutees focussed on morph syntaxys, more specifically the correction of verbs. Peer support provided via the on-line environment was predominantly based on the tutor giving the right answer to the tutee. High rates of impact on tutee corrected messages were observed. The implications for peer tutoring initiative taking place via on-line environments are discussed. Implications for policy and practice are explored.     

Managing programmed instruction and collaborative peer tutoring in the classroom: Applications in teaching Java™

To fulfill part of the course requirements, 34 undergraduate students in two courses completed an online programmed instruction tutor as the first technical training exercise in a Java™ programming course designed for information systems majors. The tutor taught a simple JApplet program to display a text string within a browser window on the Web. Students in the first course next participated in a collaborative peer tutoring session, based on the JApplet program, followed by a lecture on the program and by successfully running the program on the Web. For the second course, the peer tutoring session was scheduled after the lecture and after successfully running the program. Students in both courses completed tests of far transfer (“meaningful learning”) and software self-efficacy before using the tutor and on several subsequent occasions following that initial learning. Students in the second course also completed a 4-item scale to assess the development of classification and functionality knowledge regarding elements of the program. Students in both courses showed progressive improvement in all performance measures across the several assessment occasions. Students’ positive ratings of the effectiveness of both the tutor and the collaborative peer tutoring supported the value of these learning experiences in a technical knowledge domain. The results of this study, based on student performance observed within the context of the classroom, show the importance of providing a range of synergistic learning experiences that culminate in a level of skill and confidence that prepares and motivates all students for advanced instruction in Java. They also show how to manage the instructional techniques in the classroom to accomplish that educational outcome.     

Cross‐age peer tutors in asynchronous discussion groups: studying the impact of tutors labelling their interventions

Cross‐age tutors were randomly assigned to one of the three tutor training conditions distinguished for the current study: (1) the labelling experimental condition, characterized by requirements to label their tutor interventions, based on the e‐moderating model of Salmon; (2) the non‐labelling experimental condition, focusing on tutor's acting upon the role of an e‐moderator without preliminary requirements with regard to labelling the phase of e‐moderating in their messages; and (3) a control condition, typified by all‐round information on online facilitation. The results indicated that tutors are not really capable in labelling their interventions accurately. Nevertheless, labelling did foster enhanced e‐moderating activities. Compared to tutors in the control condition, tutors in the experimental conditions performed at a higher level, implying that they adopted more balanced tutor support. Labelling did not result in a differential impact on self‐efficacy and perceived collective efficacy.     

Email small group peer review revisited

Attention to email exchanged among a small group of student peers supercedes discussion of networked computer labs and is distinguished from research on collaborative classroom work in general, on online peer tutoring in writing centers, on email communication in online professional writing courses, and on online discourse in general. Email peer response within small groups is different from larger-scale, one-to-many computer-based communication tools (CBCT) on class mailing lists, bulletin boards, blogs, and wikis on the one hand and smaller-scale, one-to-one email exchange between an individual student and a peer tutor on the other hand. The benefits of assignments that require small groups to respond electronically and asynchronously to each other's drafts are analyzed and illustrated: rhetorical/thematic, discursive/environmental, technological, logistical/time management. The practicalities of students’ exchange of drafts, deadlines, and other guidelines are explained and illustrated in typical student email responses and model instructor handouts.     

“I think you just got mixed up”: confident peer tutors hedge to support partners’ face needs

During collaborative learning, computer-supported or otherwise, students balance task-oriented goals with the interpersonal goals of relationship-building. This means that in peer tutoring, some pedagogically beneficial behaviors may be avoided by peer tutors due to their likelihood to get in the way of relationship-building. In this paper, we explore how the interpersonal closeness between students in a peer tutoring dyad and the peer tutors’ instructional self-efficacy impacts those tutors’ delivery style of various tutoring moves, and explore the impact those tutoring move delivery styles have on their partners’ learning. We found that tutors with lower social closeness with their tutees provide more positive feedback to their tutee and use more indirect instructions and comprehension-monitoring, but this is only the case for tutors with greater tutoring self-efficacy. And in fact, those tutees solved more problems and learned more when their tutors hedged instructions and comprehension-monitoring, respectively. We found no effect of hedging for dyads with greater social closeness, on the other hand, suggesting that interpersonal closeness may reduce the face-threat of direct instructions and comprehension-monitoring, and hence reduce the need for indirectness, while tutors’ instructional self-efficacy allows tutors to use those moves without feeling threatened themselves. These results emphasize that designers of CSCL systems should understand the nature of how the interpersonal closeness between collaborating students intersects with those students’ self-efficacy to impact the use and delivery of their learning behaviors, in order to best support them in collaborating effectively.     

Using synchronous peer tutoring system to promote elementary students’ learning in mathematics

The face-to-face computer-supported collaborative learning has emerged as an important strategy to elementary students' learning. Few studies have explicitly incorporated the structured peer tutoring to the synchronous environment in mathematics. This study was aimed to explore the effects of the synchronous peer tutoring system on children's mathematics learning. In the project, there were 88 10-11-year-old students who peer tutored each other in mathematics in the face-to-face online environment for a year. Compared to the control group, students in the experimental group had significant gains in mathematics learning, especially in the arithmetic and application types of questions. This study demonstrated the positive effects of peer support via the online synchronous learning on students' self-concept and attitudes toward mathematics learning. The results indicated that the longer the vulnerable pupils engaged in peer tutoring online, the more they benefited from the process. The finding suggests that students demonstrate different mathematics reasoning skills when they are paired with peers at different levels of ability. These findings demonstrate that the synchronous peer tutoring system is an effective tool to enhance elementary students' learning in mathematics, as well as promote positive self-concepts.     

An investigation of the effects of reciprocal peer tutoring

This study investigated the effects of reciprocal peer tutoring (RPT) on student achievement, motivation, and attitudes. Four sections of an educational technology course were randomly assigned to one RPT and one non-RPT group. Participants in the RPT group were then randomly assigned to groups to tutor and support each other while participants in the non-RPT group worked individually. The results suggested that the RPT and non-RPT groups did not differ on student achievement and motivation. Findings concerning student attitudes revealed that what students liked about RPT were helpful group members, opportunities to work in groups, feedback from groups, the comfort that RPT provided, and knowledge sharing. What students disliked about RPT were the unnecessary work and lack of interaction.     

Intelligent tutoring systems: an overview

This is a non-expert overview of Intelligent Tutoring Systems (ITSs), a way in which Artificial Intelligence (AI) techniques are being applied to education. It introduces ITSs and the motivation for them. It looks at its history: its evolution from Computer-Assisted Instruction (CAI). After looking at the structure of a typical ITS, the paper further examines and discusses some other architectures. Several classic ITSs are reviewed, mainly due to their historical significance or because they best demonstrate some of the principles of intelligent tutoring. A reasonably representative list of ITSs is also provided in order to provide a better appreciation of this vibrant field as well as reveal the scope of existing tutors. The paper concludes, perhaps more appropriately, with some of the author's viewpoints on a couple of controversial issues in the intelligent tutoring domain.     

Using peer tutoring in evaluating the usability of a physically interactive computer game with children

This paper presents a novel approach to usability evaluation with children called peer tutoring. Peer tutoring means that children teach other children to use the software that is evaluated. The basic philosophy behind this is to view software as a part of child's play, so that the teaching process is analogous to explaining the rules of a game such as hide and seek. If the software is easy to teach and learn, it is more likely that the amount of users increases in a social setting such as a school. The peer tutoring approach provides information about teachability and learnability of software and it also promotes communication in the test situation, compared to a test person communicating with an adult instructor. The approach has been applied to the development of a perceptually interactive user interface in QuiQui's Giant Bounce, a physically and vocally interactive computer game for 4–9 year old children. The results and experiences of using peer tutoring are promising and it has proved to be effective in detecting usability flaws and in improving the design of the game.     

Reciprocal tutoring using cognitive tools

Abstract Reciprocal tutoring, where peers take turns to tutor each other, is an interesting style of social learning. In the Reciprocal Tutoring System (RTS), three computational cognitive tools were designed to facilitate reciprocal tutoring of Lisp programming on the network. The first is a Petal-style of code–chunk interface, with which a tutee can enter Lisp code without making syntactic errors. The second tool is Diagnosis-Hint Tree, with which a tutor can diagnose and comment on the errors in the tutee's program. The third one is a list of dialogue templates, with which the tutee and the tutor can communicate during the tutoring process. A three-phase experiment was conducted, with each phase using different cognitive tools. In addition, with the help of the cognitive tools, RTS provides a virtual learning companion that can play tutor or tutee. Evaluation results reveal both the strengths and weaknesses of peer-based learning and intelligent tutoring, with supports of different cognitive tools. Peer-based learning supported by cognitive tools is a practical and attractive alternative to intelligent tutoring systems. Exactly which type of tutor is preferred depends on the tutee's cognitive, communication, and emotional needs in the tutorial context.     

A conversational intelligent tutoring system to automatically predict learning styles

This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student’s learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and personalising the tutorial to boost confidence and improve the effectiveness of the learning experience. Learners can intuitively explore and discuss topics in natural language, helping to establish a deeper understanding of the topic. The Oscar CITS methodology and architecture are independent of the learning styles model and tutoring subject domain. Oscar CITS was implemented using the Index of Learning Styles (ILS) model (Felder & Silverman, 1988) to deliver an SQL tutorial. Empirical studies involving real students have validated the prediction of learning styles in a real-world teaching/learning environment. The results showed that all learning styles in the ILS model were successfully predicted from a natural language tutoring conversation, with an accuracy of 61–100%. Participants also found Oscar’s tutoring helpful and achieved an average learning gain of 13%.     

Tutoring executives online: what drives perceived quality?

Studies of learning and student satisfaction in the context of online university programmes have largely neglected programmes catering specifically to business executives. Such executives have typically been away from higher education for a number of years, and have collected substantial practical experience in the subject matters they are taught. Their expectations in terms of both content and delivery may therefore be different from non-executive students. We explore perceptions of the quality of tutoring in the context of an online executive MBA programme through participant interviews. We find that in addition to some of the tutor behaviours already discussed in the literature, executive students look specifically for practical industry knowledge and experience in tutors, when judging how effective a tutor is. This has implications for both the recruitment and training of online executive MBA tutors.     

Applying social bookmarking to collective information searching (CIS): An analysis of behavioral pattern and peer interaction for co-exploring quality online resources

With the advancement of Web 2.0 applications, this study aims to advocate that social bookmarking (SB) applications could support mutual exchange of finding information in a manner of collective information searching (CIS). A social bookmarking system, namely ‘WeShare,’ was developed, and conducted with 127 junior high school students for performing the given assignment in this study. The participants’ activities of collecting and reviewing relevant information were traced by log data for later analysis. To initially unveil the participants’ behaviors in the use of social bookmarking for co-exploring the Internet resources, this study proposed some quantitative indicators to represent students’ personal contributions (‘Bookmarks from the Internet,’ ‘Bookmarks from WeShare,’ ‘Annotations on personal bookmarks,’ ‘Comments on others’ bookmarks’) and peer feedback (‘The number of bookmarks collected by peers,’ ‘The number of bookmarks commented on by peers,’ ‘The number of comments from peers’). By the method of cluster analysis, some behavioral patterns regarding how participants collectively search the Internet by use of WeShare were identified. Furthermore, the findings suggest that personal contributions to citing and commenting on peers’ bookmarks are important to the advancement of collective information searching activities for finding quality information on the Internet.     

Agent based affective tutoring systems: A pilot study

An important trend in the development of Intelligent tutoring systems (ITSs) has been that providing the student with a more personalized and friendly environment for learning. Many researchers now feel strongly that the ITSs would significantly improve performance if they could adapt to the affective state of the learner. This idea has spawned the developing field of affective tutoring systems (ATSs): ATSs are ITSs that are able to adapt to the affective state of students. However, ATSs are not widely employed in the tutoring system market. In this paper, a survey was conducted to investigate the critical factors affecting learner’s satisfaction in ATSs based on an ATS developed by us. The results revealed that learner’s attitude toward affective computing, agent tutor’s expressiveness, emotion recognition accuracy, number of emotions recognized by agent tutor, pedagogical action and easy of the use of the system have significant influence on learner’s satisfaction. The results indicate institutions how to further strengthen the ATSs’ implementation.     

Investigating ICT using problem-based learning in face-to-face and online learning environments

This article reports on the design, implementation and evaluation of a module in the MEd (Business) in the Faculty of Education at the University of Hong Kong in which an explicit problem-based learning (PBL) approach was used to investigate the challenges associated with the adoption and use of information and communication technologies (ICT) in Hong Kong secondary school classrooms. PBL influenced both the way the curriculum was developed and the process by which students (n = 18) investigated topics related to the integration of ICT in business studies classrooms. The evaluation was based on five evaluative questions dealing with the implementation of PBL, the extent to which PBL facilitated academic discourse, the extent of ‘new’ knowledge about ICT that had been created, the role of the tutor, and the online learning environment provided. The evaluation revealed that PBL provided a practical approach to investigating ICT in both face-to-face and online learning environments, leading to ‘new’ knowledge about challenges associated with the adoption and use of new technologies in various educational settings.     

The development of an ESL OWL, or learning how to tutor writing online

This essay describes the development of an ESL OWL by grounding practices in language and literacy pedagogy theory. An initial discussion explores OWLs emulating physical writing center spaces. Two areas of concern are then addressed in meeting the needs of second language writers as they relate to practices and training for online tutoring: error correction—an area of frequent concern to second language writers—and increased interactivity—meeting second language writer expectations and creating autonomous learners. Issues of plagiarism by second language writers are discussed as related to the type of feedback OWL tutors can provide. Highlighted throughout are samples of interactions between tutors and writers that show a process of learning how to create dialogue rather than dictations from the tutor to clean up a single essay.