Maine's College of Human Ecology

Abstract

A sample of applicants to the 1979 Youth Conservation Corps (YCC) program were surveyed twenty-six months after camp to assess possible long-term perceived benefits to program participants. Successful applicants (enrollees) served as the experimental group, unsuccessful applicants as the control group. Mean score differences on ten scales used for testing showed a consistent pattern of small benefits for the experimental group. When the treatment and control groups were categorized into increasingly definitive subgroups based on socioeconomic and demographic background variables, the magnitude of mean score differences increased greatly for certain subgroups of enrollees. Particular subgroups of enrollees showed sizable benefits not realized by other subgroups, especially when two classifying variables were used to define subgroups.     

How are maths-anxious students identified and what are the key predictors of maths anxiety? Insights gained from PISA results for Korean adolescents

ABSTRACT

Maths anxiety has been of great concern for many educators and educational policymakers because of its adverse effects on students’ maths performance and career path. Various empirical studies have been conducted to explore the factors predicting maths anxiety, and they have typically been based on a limited set of pre-specified variables, such as maths performance and student self-concept. However, to fully grasp the nature of maths anxiety, an exploratory study based on more elaborate prediction models using a wider variety of variables can also benefit educators. To explore the important predictors of maths anxiety and examine the possibility of achieving an acceptable level of prediction accuracy, this study employed the random forest algorithm, logistic regression, and the hierarchical general linear model to build prediction models for maths anxiety based on 194 variables collected from PISA student questionnaires. Among the factors predicting maths anxiety, enjoying maths, self-concept, and attributions to failure were revealed as being the most significant predictors. Confidence in oneself, persistent behavioural characteristics, and pressures from parents or teachers were also selected as important predictors. Educational implications are drawn from the findings of this study, and the advantages and drawbacks of each prediction model are discussed.     

Toward a taxonomy of adaptivity for learning

Abstract

Adaptive learning and personalization have long been of great interest to learning designers and educators, and recent technological advances that have opened up a range of new possibilities for adaptivity. However, we lack clear definitions of the terms adaptivity and personalization, and the theoretical and empirical soundness of implementations of corresponding systems varies greatly. We therefore first provide definitions for key concepts related to adaptivity. We then discuss what variable systems should adapt for, how these variables can be measured, and what modifications to the learner experience can be made based on these variables. We propose a taxonomy of adaptivity that distinguishes adaptivity based on cognitive, emotional, motivational, and social/cultural variables, and that defines types of adaptivity at a macro-level and a micro-level.     

A Comparison of Column-Dictation and Sentence Dictation Spelling with Respect to Acquisition of Meaning of Words

Abstract

In a replication of a multivariate investigation based on Atkinson’s model of the dynamics of cumulative achievement, the amount of variance explained in achievement as defined by the final grade in a course was encouraging, but the lack of evidence of effect of some of the personality variables in the model indicated that some of them may have to be operationalized differently. On the other hand, the importance of some of the environmental variables was highlighted by the results. Not surprisingly, previous performance was the best single predictor of performance.     

A Pilot Study in the Field of Professional Further Education — Cooperative Learning in a Multimedia Learning Environment

ABSTRACT

Based on cooperative learning models, the present study investigated the specific effects of performance, interpersonal relations and affective variables in a computer‐based cooperative learning environment. Subjects were male and female adults who studied a multimedia learning program as a professional training task. After randomization 50 subjects worked in cooperative settings, while 25 subjects worked individually as a control group. In keeping with our assumptions, the subjects benefited from being paired. Further advantages for cooperative learning seem likely if instructions are modified and cooperative strategies used.     

Reconceptualizing Readability: The Relationship between Surface and Underlying Structure Analyses in Predicting the Difficulty of Basal Reader Stories

Abstract

Readability has traditionally been predicted by tabulating surface structure variables such as vocabulary and sentence length. These criteria are used in determining levels within basal reading series. The prediction of readability as a function of underlying structure- or the logical relationship among higher-order text elements-has not been systematically investigated. In this study a difficulty formula based on underlying structure analysis was applied to basal reader stories and compared to difficulty levels as determined by the Fry Readability Formula. Results indicated that there is no systematic increase in underlying structure difficulty with increase in grade level. Implications for readability research and for basal reader content and instruction are discussed.     

Dropouts in Two-Year Colleges: Better Prediction with the Use of Moderator Subgroups

Abstract

Failure to identify and account for the effects of moderator variables, variables that intervene in and affect the relationship between two variables, has been an important reason for the low explanatory power of a large portion of educational research. This study illustrates the use of pre-existing subgroups as moderator variables and the consequent increase in efficiency of the analysis of data.

Data on 32 variables, consisting of measures on personality, family background, attitudes, aspiration, and academic ability, were collected on an entering class of an urban community college. These variables were used as predictors in a regression analysis, and the status of the freshmen at the end of one year as dropouts or persisters was treated as the dependent variable. The categories of sex, ethnicity, and curriculum were tested for their moderating effect, and significant slope differences were found for the categories of all three variables. In view of this, sex and curriculum were used as subgrouping variables, and ethnic categories were used to generate interaction terms. The results showed that the use of moderator variables increased the amount of variance explained by 460%.     

Assessing Effects of Schooling With Cross-Sectional Data: Between-Grades Differences Addressed as a Selection-Bias Problem

Abstract

This article details how cross-sectional data may be used to assess the effect of schooling. The methodology proposed requires that the data derive from two (or more) adjacent grades. Differences in learning outcomes between grades are assumed to be accounted for by differences in age, the education received, and unmeasured variables affecting both assignment to grades and learning outcomes. The approach presented includes an estimation of the impact of these unmeasured variables. It was applied to the TIMSS-95 data, which relate to student achievement and attitudes to both mathematics and science in 15 different countries. This research illustrated that the proposed approach yielded results that were very close to estimates based on an instrumental variables method.     

Preparing general educators to teach in inclusive classrooms: Some food for thought

Abstract

Teacher education programs designed to prepare general education classroom teachers to teach in classrooms that include students with disabilities should be developed based on current research into the variables that are key to the successful inclusion of students with disabilities in general education classroom settings. The authors attempt to build a bridge from research to practice by describing one such research project, presenting some of its findings, and offering some food for thought on designing teacher preparation programs.     

Reframing resilience: Pilot evaluation of a program to promote resilience in marginalized older adults

ABSTRACT

Resilience has been described as a paradigm for aging that is more inclusive than models that focus on physiological and functional abilities. We evaluated a novel program, Resilient Aging, designed to influence marginalized older adults’ perceptions of their resilience, self-efficacy, and wellness. The multiweek group program incorporated an inductive definition of resilience based on group members’ lived experiences. Outcomes evaluation for this pilot study included pre/postassessments on resilience, self-efficacy, and six wellness variables. Twenty-nine participants completed the program. Pre/post-assessment indicated a statistically significant multivariate change across the eight outcome variables. Increases in resilience, physical wellness, and emotional wellness, and decreases in social wellness and intellectual wellness accounted for most of the multivariate change. Resilient Aging is a participant-centered and strengths-based program that has potential for enhancing participants’ perceptions of resilience and wellness. The program can be administered within community settings to promote resilience and wellness among marginalized older adults.     

Childhood disclosure of sexual abuse and mental health outcomes in adulthood: Assessing merits of early disclosure and discussion

BackgroundEmpirical research on the impact of early disclosure of child sexual abuse (CSA) on survivor health is limited and mixed. One recent study found that early disclosure may actually be detrimental for abuse cessation and adult symptomatology (Swingle et al., 2016). The current study re-examined the effects of early disclosure and related variables on long-term mental health for men with histories of CSA.ObjectiveThe primary aims of this study were to: a) investigate whether early disclosure and response to early disclosure were related to mental distress in adulthood, and b) examine whether having an in-depth discussion and timing of that discussion were related to mental distress in adulthood.Participants and settingData were collected from a large, non-clinical sample of male survivors (N = 487), ranging in age from 19 to 84 years, through an online, anonymous survey.MethodsHierarchical regression analyses were conducted by entering groups of variables in four steps: control variables, CSA severity, disclosure, and discussion.ResultsOverall, models explained between 24–28% of the variance in mental distress. None of the CSA severity variables reached significance. Both early disclosure (β = −0.126, p = 0.003) and response to first disclosure (β = −0.119, p = 0.006) were significant protective factors in Model 3. In the final model, having an in-depth discussion (β = −0.085, p = <0.036) and years until discussion (β = 0.102, p = 0.029) were also related to mental distress.ConclusionsResults support the merits of early disclosure and discussion on long-term mental health. Implications for future research and practice are presented.     

Personal strengths and perceived teacher support as predictors of Singapore students’ academic risk status

Abstract

This study explored the relative salience of students’ personal strengths and teacher support in predicting academic risk status. The participants were Secondary One (S1, Grade Seven) students from Singapore who scored below the cohort’s mean score in a national test administered at the end of primary education, and were identified as low risk (n = 309) or high risk (n = 396), based on their S1 achievement score in the English Language subject. Logistic regression analysis was conducted with academic risk status as criterion variable and the following potential predictors: students’ background variables (i.e. socio-economic status, cognitive ability and initial achievement), personal strengths, teacher–student relatedness, and teacher autonomy and competence support. After controlling for the effects of the students’ background variables, teacher trust emerged as the strongest (negative) and most stable predictor of high-risk status; teacher alienation and teacher–student communication were found as significant positive predictors of students’ placement in the high-risk group.     

The Whole Earth: An EE Perspective

Abstract

Despite the wealth of information which exists concerning environmental behavior, it is not known which variable or variables appear to be most influential in motivating individuals to take responsible environmental action. A meta-analysis of environmental behavior research was undertaken in an attempt to determine this. An exhaustive search of the empirically based environmental behavior research conducted over the past decade yielded a substantial number of studies representative of a broad academic base. The characteristics and findings of these studies served as the data for the meta-analysis. As a result of the meta-analysis, the following variables were found to be associated with responsible environmental behavior: knowledge of issues, knowledge of action strategies, locus of control, attitudes, verbal commitment, and an individual's sense of responsibility. A model of predictors of environmental behavior is proposed.     

School Effectiveness Research and the Development of Process Indicators of School Functioning

Abstract

Educational systems can quite easily be described in terms of a context‐input‐process‐output model. Likewise systems of educational indicators ‐‐ i.e. statistics on key aspects of educational systems that are of evaluative relevance ‐ can be categorized as context, input, process and output‐indicators. Process‐indicators are the subject of this paper. The rationale for selecting the process‐indicators chosen here was to look for those school‐ and teaching characteristics that are positively associated with educational achievement. The research literature on school and teaching effectiveness is the most relevant for this. An attempt has been made to formulate a comprehensive model of school and teaching effectiveness and to use this as the basis for a list of the most promising process‐indicators. Some of the key process‐variables that are proposed include stimulating environmental factors, achievement oriented policies, educational leadership, amount of instruction, learning opportunities, structured teaching, collaborative planning and evaluative potential of schools. The problems of constructing and using process‐indicators based on these variables are discussed from the perspectives of macro‐, meso‐ and micro‐level applications of educational indicator systems.     

The Adaptation of Science Curricula‐‐an Exploratory Analysis of Some Relevant Decisions

Summaries

English

The paper attempts a systematic analysis of some of the issues involved in the adaptation of science curricula. The meaning of adaptation is defined and adaptation as a process is distinguished from adaptation (or ‘adaptedness') as a quality of a curriculum.

The ‘situation variables’ affecting the ‘adaptedness’ of a curriculum in a given setting are analysed; modifications which differences in such variables may necessitate are discussed and a simple classification proposed. The feasibility of adapting a given curriculum for use in a different setting depends both on differences in the situation variables and on characteristics of the curriculum itself. Some relevant characteristics are identified and their effects assessed.

Finally the paper directs attention to the wider issues of a socio‐economic character which, in practice, affect the desirability, or the wisdom, of opting for adaptation as a curriculum development strategy in a given context.     

Recency of Secondary School Mathematical Preparation as an Influence on First-Year College Mathematics Achievement

Abstract

A random sample of four hundred college freshman mathematics students with comparable high school mathematical preparation was selected from 1,435 students. The test group included 126 members who had not attempted a mathematics course during their last year in high school, designated as Group N, and 263 members who had received mathematical credit during their last year, designated as Group Y. Statistical treatment of data for each group indicated that the SAT mathematical aptitude scores, CEEB (Level I) mathematical achievement scores, and achievement in first-year college mathematics courses was greater for Group Y at the .01 level of confidence. The achievement comparison was based on an analysis of covariance procedure with SAT Mathematical scores, CEEB Mathematical scores, and sex of student used as adjusting variables.     

Effect of Part-Time Work on High School Mathematics and Science Course Taking

Abstract

The effect of part-time work intensity on high school course work completed in mathematics and science and its indirect effect on 12th-grade achievement was explored. Longitudinal data from a nationally representative sample were used to test the models through path analysis. Socioeconomic status and previous achievement were included as exogenous variables for control purposes, and part-time work intensity was hypothesized to negatively affect course work completed in the 2 subjects, as well as 12th-grade achievement through course work during high school. Results suggest that, controlling for the background variables, there was a significant negative effect of part-time work intensity on course work and that its indirect effect on 12th-grade achievement through course work was larger than its direct effect.     

Reasoning strategies of students in solving chemistry problems as a function of developmental level,functional M‐capacity and disembedding ability

Achievement in science depends among other factors on hypothetico‐deductive reasoning ability, that is, developmental level of the students. Recent research indicates that the developmental level of students should be studied along with individual difference variables, such as Pascual‐Leone's M‐capacity (information processing) and Witkin's Cognitive Style (disembedding ability). The purpose of this study is to investigate reasoning strategies of students in solving chemistry problems as a function of developmental level, functional M‐capacity and disembedding ability. A sample of 109 freshman students were administered tests of formal operational reasoning, functional M‐capacity, disembedding ability and chemistry problems (limiting reagent, mole, gas laws). Results obtained show that students who scored higher on cognitive predictor variables not only have a better chance of solving chemistry problems, but also demonstrated greater understanding and used reasoning strategies indicative of explicit problem‐solving procedures based on the hypothetico‐deductive method, manipulation of essential information and sensitivity to misleading information. It was also observed that students who score higher on cognitive predictor variables tend to anticipate important aspects of the problem situation by constructing general figurative and operative models, leading to a greater understanding. Students scoring low on cognitive predictor variables tended to circumvent cognitively more demanding strategies and adopt others that helped them to overcome the constraints of formal reasoning, information processing and disembedding ability.