Supervisory Working Alliance: A Model Providing Direction for College Counseling Supervision

This article presents an overview of the Supervisory Working Alliance Model (E. S. Bordin, 1983) and related research. The author proposes an extension of the model by applying it to evaluation and multicultural competency. The following major advantages of the model for supervision in college counseling centers are discussed: (a) model's transtheoretical nature, (b) model's compatibility with alternate models, (c) model's conduciveness toward multiculturally competent supervision, and (d) model's utility in evaluation.     

Establishing the Initial Validity of the REDFLAGS Model: Implications for College Counselors

The aim of this study was to initially validate the REDFLAGS model, 8 cautionary warning signs of mental distress in college students. A test of internal consistency reliability and factor analysis supported the model's reliability and construct validity. Hierarchical logistic regression models endorsed the model's predictive validity; students’ recognition of the REDFLAGS model was significantly associated with increases in the odds of a peer‐to‐peer referral to the counseling center. Implications for college counselors are discussed.     

A critique of the deep and surface approaches to learning model

This paper is a critical analysis of Biggs's deep and surface approaches to learning model, which is prominent in the higher education and tertiary learning fields. The paper reflects on the model's origins and the contextual pressures of the educational landscape extant at that time. It is argued that these pressures have led to a demonstrable lack of serious critique of the model, which has truncated the model's development, leaving it underdeveloped. There are significant problems with the model in the areas of supporting evidence, imprecise conceptualisation, ambiguous language, circularity, and a lack of definition of the underlying structure of deep and surface approaches to learning.     

Can selection of an effective memory strategy be induced vicariously?

In three experiments, fifth-grade children and college students watched a video-taped peer model executing two differentially effective associative-learning strategies. In two experimental conditions, feedback to subjects about the model's subsequent recall was varied to be either congruent or incongruent with reality; in two other conditions, no information about the model's recall performance was provided. Subjects were then asked to pick one of the two strategies for their own use, and to study and be tested on a new list of items. The major findings were that whereas the children did not capitalize on their available strategy-efficacy information when making their own strategy selections, college students did show some evidence of coordinating their perceptions of both the model's performance and their own performance on the model's test with selection of the more effective strategy. Consistent with previous data, a majority of both children and adults endorsed the more effective strategy following their own study/test experience.     

Restructuring the On-Campus Counselor Education Laboratory: Contemporary Professional Issues

An accountability model for addressing contemporary issues in the development and operation of on-campus practicum laboratories is presented. A case illustration provides an example of the model's potential use. Implications for counselor education programs are discussed.     

A causal model of students' achievement in a college physics course

To explain students' achievement in the mechanics segment of a college physics course, a causal model is proposed whose variables are the three constructs: Newtonian physics, math ability, and science experience. Each variable specifies several variates, whose numerical values were measured and intercorrelations computed. The Factorial Modeling (FaM) procedure is applied to the data to estimate the coefficients of the proposed model's structural equations. The FaM results indicate that the model is plausible and that its first two variables account for approximately 34% of the variance in the criterion variate, students' mechanics achievement. The implications of the findings for physics instruction are discussed.     

Young children's interpretation of the task demands in a simple experimental situation: an example from drawings

This paper presents a very simple experiment on children's drawings to explore the reasons underlying children's contextual sensitivity. Five‐ and six‐year old children were asked to draw from a model on two consecutive tasks. The only difference between the two tasks was the model's orientation. A model cup was presented on one task with its handle visible (at the side) and on the other task with its handle hidden at the back. Previous research would predict that children of this age should show a tendency towards drawing a familiar model such as a cup in a stereotyped orientation (i.e. handle at the side), irrespective of whether or not the handle was visible. However, the results from the present study showed that the children's preparedness to draw the model as it appeared was influenced by the order of task presentation. The findings are discussed in terms of children's interpretation of the task demands which alters as a result of the contrast between the two tasks.     

Who or What is School 'Self'-Evaluation for?

Schools' own capacity and responsibility for reflection and evaluation is now at the forefront of UK policy. This article posits an identifiable 'English model' of school self-evaluation, which can be contrasted with the model derived from a recent CIDREE project on school self-evaluation involving 7 other European countries. The 'English model' has various strengths, which can be characterised as instrumentalist, action-oriented, rationalistic and managerial; what seems to be missing from it are what the article calls 'the ethical, affective, non-rational and democratic modes of thinking'. The article argues that, since these are crucial dimensions in the process of education, they should also figure as key aspects or modes of evaluation. What might be the implications of this for current policy and practice?     

A General Form of Rasch's Extended Logistic Model for Partial Credit Scoring

The purpose of this article is to recast the Rasch model in a generalizable form allowing for broader insights into the model's applicability beyond partial credit scoring. Applications of an extended logistic model to the study of dependencies within subtests of dichotomously scored items and the study of questionnaires in the Likert tradition are identified. One possible outcome of research using the extended logistic model is a better understanding of the cognitive processes in problem solving and other learning tasks.     

Learning to see: Guiding students' attention via a Model's eye movements fosters learning

This study investigated how to teach perceptual tasks, that is, classifying fish locomotion, through eye movement modeling examples (EMME). EMME consisted of a replay of eye movements of a didactically behaving domain expert (model), which had been recorded while he executed the task, superimposed onto the video stimulus. Seventy-five students were randomly assigned to one of three conditions: In two experimental conditions (EMME) the model's eye movements were superimposed onto the video either as a dot or as a spotlight, whereas the control group studied only the videos without the model's eye movements. In all conditions, students listened to the expert's verbal explanations. Results showed that both types of EMME guided students' attention during example study. Subsequent to learning, students performed a classification task for novel test stimuli without any support. EMME improved visual search and enhanced interpretation of relevant information for those novel stimuli compared to the control group; these effects were further moderated by the specific display. Thus, EMME during training can foster learning and improve performance on novel perceptual stimuli.     

ASK to THINK-TEL WHY: A model of transactive peer tutoring for scaffolding higher level complex learning

This article presents an inquiry-based model of mutual peer tutoring called ASK to THINK-TEL WHY®©. The model is described along with its purpose, its theoretical and research bases, and how it is used by tutoring partners to mediate each others' learning. Unlike tutoring systems used to promote learning at the comprehension level, this model is designed to promote higher level complex learning, namely the construction of new knowledge. The model emphasizes reciprocal tutor-tutee roles, supportive communication, and (elaborated explanation and questioning skills. When in the tutoring role, students learn to use different kinds of questions to prompt their partners to make corresponding responses. Tutors also learn to sequence their questioning in a particular way. Thus, during this transactive process, partners scaffold each other's thinking and learning to progressively higher levels. Mechanisms involved in this form of peer-mediated learning are discussed along with results of research on the model's effectiveness.     

A Model for Measuring Effectiveness of an Online Course

As a result of this research, a quantitative model and a procedure have been developed to create an online mentoring effectiveness index (EI). To develop the model, mentoring and teaching effectiveness are defined, and then the constructs and factors of effectiveness are identified. The model's construction is based on the theory that effectiveness is influenced by motivational factors and results from the total synergy used in the learning process. The validity of the model is checked through component analysis and structural equation modeling. It is shown that the model offers valid, reliable, and useful results for evaluating the relative effectiveness of an online course.     

Seeing the landscape and the forest floor: changes made to improve the connectivity of concepts in a hybrid problem-based learning curriculum

Problem-based learning (PBL) curricula utilise authentic problems that are based in the real-world of practice. This very characteristic enables students to develop an intimate knowledge about the intricacies of practice, metaphorically, seeing the details of the forest floor. However, it is equally important for students to develop an overall conceptual framework of the curriculum and understand how the different aspects of the subject domain relate to each other, i.e. seeing the landscape. This paper explores the extent to which these two aspects of curriculum design, in particular the landscape, were achieved in an ‘Education Theories’ module for lecturers in higher education. It utilises Hung's 3C3R problem-design model to help develop these connections. The findings alert curriculum designers to pay more focused attention to the holistic problem from Hung's model and the model's relationship with other learning resources (lectures, etc.) in supporting connectivity in PBL hybrid curricula.     

A quantitative cost effectiveness model for Web-supported academic instruction

This paper describes a quantitative cost effectiveness model for Web-supported academic instruction. The model was designed for Web-supported instruction (rather than distance learning only) characterizing most of the traditional higher education institutions. It is based on empirical data (Web logs) of students' and instructors' usage implementing Web-mining techniques. This will enable to quantify the costs and benefits of Web-supported instruction on both the single-course and the campus-wide levels. This paper describes the model's characteristics; the costs and benefits components in six dimensions; the computational mechanism that translates the cost and benefit components into quantitative values referring to university policymakers, instructors, and students; and its development process consists of the model design, creation of the computational mechanism and validation by instructors and students.     

A More Flexible Bayesian Multilevel Bifactor Item Response Theory Model

Multilevel bifactor item response theory (IRT) models are commonly used to account for features of the data that are related to the sampling and measurement processes used to gather those data. These models conventionally make assumptions about the portions of the data structure that represent these features. Unfortunately, when data violate these models' assumptions but these models are used anyway, incorrect conclusions about the cluster effects could be made and potentially relevant dimensions could go undetected. To address the limitations of these conventional models, a more flexible multilevel bifactor IRT model that does not make these assumptions is presented, and this model is based on the generalized partial credit model. Details of a simulation study demonstrating this model outperforming competing models and showing the consequences of using conventional multilevel bifactor IRT models to analyze data that violate these models' assumptions are reported. Additionally, the model's usefulness is illustrated through the analysis of the Program for International Student Assessment data related to interest in science.     

A Structural Equation Modeling Evaluation of the General Model of Instructional Communication

The General Model of Instructional Communication introduced by McCroskey, Valencic, and Richmond (2004) is supported in its original conception by canonical data. This study, however, uses structural equation modeling (SEM) to provide a more detailed analysis. Although the model as originally hypothesized fits the data poorly, analysis of the SEM results suggests adjustments to the original model that substantially improve the model's fit. The revised model accounts for significant portions of the variance in the outcome variables, provides a more detailed explanation of the relationships involved, and has implications for future research. Bootstrapped parameter estimates suggest that the results are replicable.     

Measuring the Impact of Peer Interaction in Group Oral Assessments with an Extended Many-Facet Rasch Model

Many language proficiency tests include group oral assessments involving peer interaction. In such an assessment, examinees discuss a common topic with others. Human raters score each examinee's spoken performance on specially designed criteria. However, measurement models for analyzing group assessment data usually assume local person independence and thus fail to consider the impact of peer interaction on the assessment outcomes. This research advances an extended many-facet Rasch model for group assessments (MFRM-GA), accounting for local person dependence. In a series of simulations, we examined the MFRM-GA's parameter recovery and the consequences of ignoring peer interactions under the traditional modeling approach. We also used a real dataset from the English-speaking test of the Language Proficiency Assessment for Teachers (LPAT) routinely administered in Hong Kong to illustrate the efficiency of the new model. The discussion focuses on the model's usefulness for measuring oral language proficiency, practical implications, and future research perspectives.     

The Influence of Adult and Peer Role Models on Children’ and Adolescents’ Sharing Decisions

This study explores how the age (adult vs. peer) and the suggestion (to be fair vs. unfair) of models affect the sharing decisions of 9‐ and 12‐year‐olds (N = 365) from Italy and Singapore. Results demonstrate a developmental shift in the influence of models on children's and adolescents’ sharing decisions in both cultures: Children's decisions were more affected by an adult model's suggestion than by that of a peer model, whereas the opposite was true for adolescents. Regardless of the models’ influence, participants considered equal sharing to be the fair choice and reported being happier when their sharing decisions were generous. Our results highlight the crucial importance of social and developmental factors for the promotion of fairness judgments and emotions.     

Utilising a capability maturity model to optimise project based learning – case study

The application of Capability Maturity Models (CMM's) is recognised throughout diverse organisations in different domains as a route to achieve strategic schemes and continuously improve organisational competitiveness of the implementing entity. This paper shall look into the development and implementation of a specific Project Based Learning Capability Maturity Model (PBLCMM) for the systematic evaluation and improvement of the capability of an institutional Project Based Learning (PBL) model to enhance the learning of students. It shall also highlight the development phases of the model to improve the students’ experience and education in a Higher Education Institution, based on a literature review, expert interviews and two case studies to verify the model's ability to incrementally enhance the capability of the utilised PBL model. The case studies prove the validity and effectiveness of the PBLCMM in identifying the potential for improvement, and educators and educational institutions may want to consider using the presented approach to optimise the effectiveness of their PBL model.