Searching for New Answers: The Application of Task‐Technology Fit to E‐Textbook Usage

Students have been slow to adopt e‐textbooks even though they are often less expensive than traditional textbooks. Prior e‐textbook research has focused on adoption behavior, with little research to date on how students perceive e‐textbooks fitting their needs. This work builds upon Task‐Technology Fit (TTF) and Consumer Acceptance and Use of Technology (UTAUT2) theory to present a student‐perspective model of e‐textbook usage. By contextualizing TTF and UTAUT2 to e‐textbooks, the research fills a gap in the literature and provides guidance to researchers and practitioners. The goal of the research is to understand how students perceive their task of learning to fit with e‐textbook technology, and how that fit influences e‐textbook usage and expected performance in their classes. To achieve this goal, the research develops a model to test the relationship between perceived TTF of e‐textbooks and UTAUT2‐defined user characteristics that encourage adoption behaviors, thus facilitating student learning. The findings show that four factors impact a student's perceived TTF: substitution, habit, hedonic motivation, and facilitating conditions. Furthermore, perceived TTF positively correlates with students’ e‐textbook usage and expected performance in classes when using e‐textbooks. While price value exhibits a measurable effect on e‐textbook utilization, it is a minor factor.     

Electronic Textbooks: Antecedents of Students’ Adoption and Learning Outcomes

Faculty and students are increasingly faced with the opportunity to use electronic versions of textbooks (e‐texts). Despite the advantages of e‐texts and recent advances in technology, evidence suggests that students are still reluctant to adopt and use e‐texts. This situation leads us to investigate two research questions: What factors contribute to students’ acceptance of e‐texts? Are there differences between hardcopy texts and e‐texts when it comes to course grade? We draw on a variety of perspectives (i.e., psychology, management information systems, economics, environmental studies) to build a framework that allows us to determine the motivations of students for adopting e‐texts, and the learning outcomes of e‐text adoption. Data was collected via a survey administered in the business school of a metropolitan university with approximately 20,000 students, located in the western United States. Results suggest that perceived ease‐of‐use and the price of e‐texts relative to hardcopy texts are two key motivators in e‐text adoption, while perceived usefulness, Internet self‐efficacy and environmental concerns are not significant motivators. However, there was no significant difference in the grades of e‐text adopters compared to hardcopy adopters. We conclude this paper by discussing the implications of our findings for educators.     

Multilevel Interaction Models and their Use in the Analysis of Large‐scale School Effectiveness Studies

In the present paper we discuss the merits of a general multilevel approach to model analysis of large scale school effectiveness studies.

We briefly review previous research framework which have been used in school effectiveness research and examine critically the assumptions on which they were based and the methodological implications of these assumptions. The general interaction models presented in this paper provide an answer to many of these critiques. Findings from different types of modeling supported the claim that the modeling of school effectiveness studies must be both multilevel and interactive. Achievement is found to be dependent in a very sensitive, non‐additive way, on the particular combination of pupil's home background, his or her general ability, teaching style and other teacher characteristics, the class and the school context in which the pupil learns. Comparisons between parsimonious main effect models with parsimonious interactive ones show that although the explanatory power of interaction models might be slightly smaller, the use of interaction models causes changes in the specification of the models that cannot be ignored.     

Course Management Systems and Blended Learning: An Innovative Learning Approach

This article utilizes Rogers ’ innovation‐decision process model (2003) and Beckman and Berry's innovation process model (2007) to create an innovative learning map that illustrates three learning methods (i.e., face‐to‐face learning, online learning, and blended learning) in two types of innovation (i.e., incremental innovation and radical innovation) that exhibits the behavior and dynamics on a two‐dimensional area of learning changes (i.e., change in learning model and change in technological infrastructure). The behavior and dynamics of face‐to‐face, online, and blended learning are depicted in the innovative learning map. Blended learning is identified as a radical innovative learning method in the innovative learning map. A course management system (CMS) is an information and communication technology (ICT) tool that can be used to facilitate and balance communication channel within a blended learning environment. Two propositions are proposed in this article: (1) CMS facilitates communication channel, enhances learning practice for learners and instructors, and is an enabler for blended learning; and (2) adopting CMS is suitable for blended learning practice. A case study to a college System Analysis and Design (SA&D) course reflects that the adoption of CMS in a blended learning environment is acceptable.     

E‐Textbooks and Students’ Learning Experiences

The contribution of the e‐textbooks can be enormous considering their additional supporting features, but adoption has not crystallized yet. This study examines the relevant experiences of college students in terms of how the use of e‐textbooks may enhance their learning. A survey study was conducted to measure the perceptions of each student on how helpful an e‐textbook is for facilitating learning (i.e., E‐book Helpfulness), how well it promotes his/her involvement in learning (i.e., Student Involvement), and how much improvement it makes on learning outcome (i.e., Learning Outcome). Results indicate that e‐textbooks are perceived as enhancers of student learning experiences in two complementing routes: (1) E‐textbook Helpfulness enhances students’ learning outcomes directly and (2) Student Involvement plays an important mediating role between E‐textbook Helpfulness and Learning Outcome if students use e‐textbooks in class. These findings suggest that the successful adoption of e‐textbooks requires schools to provide necessary resources (e.g., computer labs) and instructors to actively engage students in using e‐textbooks.     

Do cultural differences affect users’ e-learning adoption? A meta-analysis

The great advantages of e-learning have been recognized, and efforts have been made to promote e-learning adoption. Despite valuable research achievements from technology adoption, previous studies built their models from different perspectives. In this study, to offer a comprehensive research model on e-learning adoption, we integrated these models (ie, TAM, TPB and IDT) and included culture as a moderator. Based on 45 relevant empirical research, this study conducted a meta-analysis to explore key determinants of users’ attitude and behavioral intention to adopt e-learning. Combined with traditional technology acceptance theories and innovation diffusion theory, we developed a comprehensive model and explored the moderating role of culture. The results indicate that this integrated technology acceptance model can be applied to better understand e-learning adoption. The moderator analysis shows that the influence of subjective norms and self-efficacy on users’ behavior intention is more salient in the collectivistic culture, whereas perceived usefulness is more important for online learners in an individualistic culture.     

An instructional model for web-based e-learning education with a blended learning process approach

Web‐based e‐learning education research and development now focuses on the inclusion of new technological features and the exploration of software standards. However, far less effort is going into finding solutions to psychopedagogical problems in this new educational category. This paper proposes a psychopedagogical instructional model based on content structure, the latest research into information processing psychology and social contructivism, and defines a blended approach to the learning process. Technologically speaking, the instructional model is supported by learning objects, a concept inherited from the object‐oriented paradigm.     

Bayesian Model Selection Methods for Multilevel IRT Models: A Comparison of Five DIC‐Based Indices

Model selection is important in any statistical analysis, and the primary goal is to find the preferred (or most parsimonious) model, based on certain criteria, from a set of candidate models given data. Several recent publications have employed the deviance information criterion (DIC) to do model selection among different forms of multilevel item response theory models (MLIRT). The majority of the practitioners use WinBUGS for implementing MCMC algorithms for MLIRT models, and the default version of DIC provided by WinBUGS focused on the measurement‐level parameters only. The results herein show that this version of DIC is inappropriate. This study introduces five variants of DIC as a model selection index for MLIRT models with dichotomous outcomes. Considering a multilevel IRT model with three levels, five forms of DIC are formed: first‐level conditional DIC computed from the measurement model only, which is the index given by many software packages such as WinBUGS; second‐level marginalized DIC and second‐level joint DIC computed from the second‐level model; and top‐level marginalized DIC and top‐level joint DIC computed from the entire model. We evaluate the performance of the five model selection indices via simulation studies. The manipulated factors include the number of groups, the number of second‐level covariates, the number of top‐level covariates, and the types of measurement models (one‐parameter vs. two‐parameter). Considering the computational viability and interpretability, the second‐level joint DIC is recommended for MLIRT models under our simulated conditions.     

Investigating the factors that influence higher education instructors’ decisions to adopt a flipped classroom instructional model

The flipped classroom is an instructional model which allows for more advanced learning activities during in-class time while introduces subject knowledge to students prior to class. To address a gap in the recent research regarding higher education instructors’ experiences, perceptions and adoption decisions of the flipped classroom instruction, this study aimed at investigating the critical factors which were predictive of a higher education instructor’s decision to adopt a flipped classroom instructional model through exploratory factor analysis (EFA) and multiple regression in a US university. The results revealed that performance expectancy and technology self-efficacy were significant predictors. Although facilitation condition was significantly correlated with instructors’ adoption decisions, it was not a significant predictor. This study suggests that in order to improve higher education instructors’ adoption decisions of the flipped classroom and other active learning instructional models, it is of priority for institutions to remove the internal barriers to instructors’ adoption decisions of these instructional models, such as improving their performance expectancy and technology self-efficacy.     

A research methodology for studying how people think

Although science education intends to help students learn to think, research in this area does not usually use psychological research on how people think. The purpose of this article is to describe one type of research, commonly called information-processing psychology. Its goal is understanding how people think while doing complex tasks. It uses detailed data, usually from individual subjects, and develops precise yet powerful models of human performance, often by using a computer. After describing information-processing research, we illustrate it with two studies. The first shows how computer models are used to explain thinking. A computer program models the knowledge needed to understand and use a physics textbook. The second study shows how information-processing approaches can be used systematically but more simply. This study clarifies why students find it so difficult to master the “factor-label” method for converting chemical units. The article concludes with a discussion of guidelines and suggestions for using information-processing ideas.     

Transition and technology—Evaluation of blended learning delivered by university staff to 6th form students

This paper tackles two issues which are closely related: transition from pre‐entry learning to studying at university and the role blended learning strategies might have in supporting this transition. It draws on the pilot delivery of two credit‐bearing modules which were delivered in two pre‐entry institutions. The modules followed two different models in terms of their alignment to the pre‐entry curriculum and in their mode of delivery. They were evaluated through questionnaires and focus groups with students. Both university tutors and coordinators at the schools were also interviewed in order to identify barriers in the process from their perspectives. This paper contributes to research in this field by identifying, from the key stakeholders of students' and deliverers' vantage points, factors that are specific to the blended learning process and contribute to a more structured and positive transition experience for the students. It looks at how blended methodologies can enhance the transition process, as well as what some of the barriers might be. As a consequence, the paper will provide some suggestions as to how institutions may overcome some of those issues identified in order to replicate the practice successfully.     

On desirability of parsimony in structural equation model selection

This article is concerned with issues in structural equation model selection that pertain to the general utility of the well‐known principle of parsimony. An example is provided using data generated by a relatively nonparsimonious simplex model and fitted rather well by a parsimonious growth curve model that belongs to a different class of models. Implications for empirical research are subsequently discussed, with emphasis on the extent to which one may be willing to routinely use parsimony as the only principle to follow in structural model selection.     

Engaging with blended learning to improve students’ learning outcomes

When blended learning is embraced to enhance learning in engineering (architectural), design and architecture, we argue it is a best-practice instructional mode. Blended learning is the seamless amalgamation of carefully selected online modules with face-to-face instruction. This paper evaluates case studies of the introduction of blended learning in these disciplines. It demonstrates that students who do not engage with blended learning are academically disadvantaged. Alignment of the blended mode of delivery and the mode of assessment is next considered. Two case studies of the introduction of blended modes of assessment, for improved student satisfaction with feedback, are evaluated. Finally, the reliance upon non-faculty to provide both blended learning and assessment is evaluated using qualitative research methods to establish the barriers to adoption of what is now considered best educational practice.     

Huber Inventory of Trainee Self‐efficacy: Assessment of measurement models

The purpose of this study was to further examine the factor structure of the Huber Inventory of Trainee Self‐Efficacy (HITS), a measure of school psychology trainee self‐efficacy. Lockwood et al. (2017, Psychol. Sch., Vol. 54, pp. 655–670) extant data set, collected from 520 school psychology trainees, was utilized. Four measurement models were examined for model fit and factor loadings. Of the four models, a bifactor model with a single latent general self‐efficacy (GSE) and latent domain‐specific factors (i.e., Multidimensional Assessment Skills, Counseling Skills, Professional Interpersonal Skills, and Research Skills) was the most parsimonious. However, standardized loadings indicated that all practice‐related items loaded more significantly onto GSE than their domain‐specific factors, indicating the utility of GSE for practice‐related skills. Of note, the Research Skills factor displayed greater domain‐specific loadings than general loadings. These findings suggest that GSE may be the best indicator of trainee self‐efficacy, though a two‐factor model that represents practical skills versus research skills may also be appropriate. Additionally, reliability scores indicate that subscale interpretation may also be reasonable. Limitations, implications for trainers of school psychologists, and for future research directions are discussed.     

Civics and Values Education Curriculum Policies in the United States: A Survey of the States

This article reports the results of a survey conducted in the fall of 1997. The purpose of this study was to survey the extant policies in civics and values education across the 50 United States. The survey addressed three areas concerning civics and values education: curriculum, textbook selection, and teacher licensure. The findings were: One, most states mandate or suggest civics education curriculum and policies while many fewer states have curriculum and policies addressing values education. Two, many states have teacher licensure requirements for civics instruction at the secondary level; however, no teacher licensure policies exist with respect to the instruction of values. Three, states are almost equally divided between the state‐adoption and local‐control methods of textbook adoption. The authors discuss six important trends and issues that emerge from this survey.     

Blended problem‐based learning for teacher education: lessons learnt

This paper explores case study research of the group process for teachers as learners in an Online Learning Module delivered in a blended problem‐based learning (PBL) environment. Blended learning, as the name suggests, consists of a blend of at least two pedagogical approaches: within the context of this research, blended learning is the integration of the PBL face‐to‐face learning in a classroom with an e‐learning environment. The 10‐week module was part of an accredited Postgraduate Diploma in Third Level Learning and Teaching for academic staff (lecturers, librarians, learning technology support staff) from a range of higher education institutions in the Republic of Ireland. This Postgraduate Diploma attracts academic staff keen to experience and implement a variety of pedagogical approaches within their own teaching. Over the four years of the module’s existence, there have been a wide variety of subject disciplines in higher education represented. This paper shares experiences and lessons learnt from the case study, and provides a set of recommendations for other teachers pursuing this form of blended PBL with students.     

Adoption of open educational resources (OER) textbook for an introductory information systems course

Open educational resources (OER) can make educational resources widely available to all students and educators for free; however, OER are still untried in many academic programmes in higher education. This article reports a case of adoption of an open access textbook for an introductory information systems course and discusses the process and suggestions of adoption of an OER textbook based upon the authors’ own experience. The study indicates that the process of adoption of an open access textbook demands more intellectual work on the instructors’ side in comparison with the adoption of a new commercial textbook. The study suggests that discipline-based communities of practice (CoP) can ease the workload problem in the process of adopting OER textbooks. The findings are important in encouraging the OER community to shift from project-based OER textbook development to discipline-based CoP for effective OER textbook adoption.     

Students' comprehension of science textbooks using a question‐based reading strategy

Despite the heavy reliance on textbooks in college courses, research indicates that college students enrolled in first‐year science courses are not proficient at comprehending informational text. The present study investigated a reading comprehension questioning strategy with origins in clinical research based in elaboration interrogation theory, which outlines how to encourage readers to recall relevant background knowledge while reading text materials. The theory suggests that the strategy increases the likelihood that readers will integrate what they read with what they know to make new knowledge. The setting for the study more closely resembled classroom conditions compared to similar studies in the past. Unlike previous studies on reading comprehension, students read a challenging passage from the textbook used in a science course in which they were enrolled. In addition, the text was longer than that used in clinical research. The college students (n = 294) in this study were randomly assigned to either a questioning strategy treatment or a rereading placebo‐control. While reading, treatment students were presented with statements taken from regular intervals in their textbook (about every 150 words) and asked a simple why question about each of these statements. Significant differences were found favoring elaborative interrogation theory and its question strategy treatment over the placebo‐control in terms of science comprehension even after significant estimated predictors of prior knowledge and verbal ability were statistically controlled or accounted for by removing the statistical contributions of these predictors to the main effects. © 2010 Wiley Periodicals, Inc. J Res Sci Teach 47: 363–379, 2010     

影响美国教科书选用因素浅析

美国教科书选用主要受到各州教科书选用政策、出版商经济利益的驱动、外界利益集团的压力、专家网络的控制、教师与学生的参与等几个关键因素的影响，分析其经验教训，能够为我国新一轮基础教育课程改革中正在走向多样化的教科书选用提供有益的借鉴。