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This chapter explores the difference in two orientations – didaktik and curriculum – and examines how these differing stances relate to teachers’ instructional practice, engagement with professional development opportunities, and lesson design. A didaktik orientation influences much of the Nordic and Germanic countries, while a curriculum orientation is widespread in Commonwealth of Nations and the United States. This chapter explores the differences between these two theories of learning and teaching. More than just different theories of teaching and learning, we argue these theories shape how we see the world (i.e., objectified vs. subjectified) and manifest themselves in distinctive understandings of schools’ purpose, the type of learning engaged therein, and how people learn. Consequently, these orientations affect the teacher’s role, the qualifications necessary to teach, as well as other aspects of teacher quality such as instructional methods, and types of professional development.

Oil film thickness measurements made in the front main bearing of an operating 3.8 L, V‐6 engine were compared with rheological measurements made on a series of commercial and experimental oil blends. High‐temperature, high‐shear‐rate viscosity measurements correlated with the film thickness of all single‐grade and many multigrade oils. However, the film thickness provided by some multigrade oils were larger than could be accounted for by their high‐temperature, high‐shear‐rate viscosities alone. Although the pressure/viscosity coefficients of some of the oils were significantly different from those of the majority of oils tested, they were not oils which produced unusual film thicknesses. As a consequence, correcting oil viscosities for the esimated pressures acting within the bearing was unsuccessful in improving the correlations. The correlations were improved, however, by accounting for the elastic properties of the multigrade oils. Measurements of oil relaxation times at high temperatures and shear rates showed large differences in elastic properties among the test oils. A good correlation (R2 = 0.73) was obtained from a multiple linear regression of film thickness as a function of both high‐temperature, high‐shear‐rate viscosities and relaxation times.

This chapter reports the results of a study of student performance in upper-level accounting courses, especially intermediate accounting I and cost accounting. Of particular interest is the performance of students who transferred the introductory accounting courses from a two-year institution versus native four-year students. We found that after controlling for a number of aptitudinal and demographic variables, transfer students performed at a significantly lower level than native students. On average, the difference was about 0.8 of a grade point. This study also provides evidence of grade inflation at two-year institutions relative to our four-year institution; documents a mean lag time of more than two years for community college students between taking principles of accounting courses and the upper-level courses; and shows that although the transfer shock lessens as the students continue in the major, it does not disappear. We also discuss the implications of our findings.

This paper aims to examine the pedagogical strategies and challenges of selected multigrade (MG) schoolteachers in Albay, Philippines.

This study utilized a case study design using a validated semi-structured instrument with in-depth interviews to ten MG teachers, observation and document analysis. Qualitative data analyses such as content and thematic analyses were used in analyzing the data.

The results show that MG teachers use a variety of overlapping and supplementary instructional strategies such as (1) teaching one topic to all grades and at varying levels of difficulty using differentiated activity, (2) “jump-jump strategy”/teaching one grade while others work independently and (3) peer teaching or tutoring. However, there are several pedagogical challenges that MG teachers are faced with: (1) conflict between the medium of instructions and grade grouping, (2) problems with lesson planning, (3) unfocused instruction, (4) insufficient learners' materials, (5) absence of training prior to MG teaching and (6) the negative perception of the effectiveness of MG instructions.

The research is limited within the context of the participants and focuses on the pedagogical strategies and challenges in the implementation of MG teaching.

The results of this study can serve as a reference on how to support and strengthen MG instruction.

This study provides a research-based overview of MG schools from the grassroots level and adds to the limited studies of MG education in the Philippines.

Digital learning has become a global trend. Partly or fully automatic learning systems are integrated into education in schools and universities on a previously unseen scale. Learning systems have a lot of potential for re-education, life-long learning and for increasing access to educational resources. Learning systems create massive amounts of data about learning behaviour. Analysing that data for educational decision making has become an important track of research. The purpose of this paper is to analyse data from an intermediate-level computer science course, which was taught to 141 students in spring 2018 at University of Turku, Department of Future Technologies, Finland.

The available variables included number of submissions, submission times, variables of groupwork and final grades. Associations between these variables were looked at to reveal patterns in students’ learning behaviour.

It was found that time usage differs per different grades so that students with grade 4 out of 5 used most time. Also, it was found that studying at night is connected to weaker learning outcomes than studying during daytime. Several issues in relation to groupwork were revealed. For example, associations were found between prior skills, preference for individual vs groupwork, and course learning outcomes.

The research was limited by the domain of available variables, which is a common limitation in learning analytics research.

The practical implications include important ideas for future research and interventions in digital learning.

The importance of research on soft skills, social skills and collaboration is highlighted.

The paper points a number of important ideas for future research. One important observation is that some research questions in learning analytics need qualitative approaches, which need to be added to the toolbox of learning analytics research.

In this chapter, we describe the policy and practical decisions one school district and school had to make to implement a progress monitoring and Response to Intervention (RtI) model in an historically low-achieving school with a substantial population of students at risk tfor academic failure – characteristics that are common to many public schools across the nation. We contrast the lofty goals and theoretical orientations of RtI described in a burgeoning literature in special and general education with the “real life” burdens of capacity, resources, time, and school culture in a struggling school.

Although the study of credit ratings has focused on traditional credit bureau resources, scholars have recently emphasized the importance of big data. The purpose of this paper is to examine both how these data affect the credit evaluations of small businesses and how financial managers use them to stabilize their risks.

Using data from 97,889 data points for normal guarantees and 1,678 data points for accidents in public funds, the authors explore the effects of trade area grades as well as the superiority of the use of big data when evaluating credit ratings for small businesses.

The results indicate that the grade information of trade areas is useful in predicting accident rates, particularly for small businesses with high credit scores (AAA-A). On the other hand, the accident rates of small businesses with low credit scores increased from 3.15-16.67 to 3.20-33.3 percent. These findings demonstrate that accident rates for the businesses with high credit scores decrease, but accident rates for businesses with low credit scores increase when using the grades of trade areas.

The authors contribute to the literature in two ways. First, this study provides one of the first investigations on information on trade areas through public financial perspectives, thereby extending the financial risk and retail literature. Second, the current study extends the research on the credit evaluation of small businesses through the big data application of real transaction-based trade areas, answering the call of Park et al. (2012), who recommended an exploration of the relationship between business start-ups and financial risk.

As the last link of product remanufacturing, reassembly process is of great importance in increasing the utilization of remanufactured parts as well as decreasing the production cost for remanufacturing enterprises. It is a common problem that a large amount of remanufactured part/reused part which past the dimension standard have been scrapped, which have increased the production cost of remanufacturing enterprises to a large extent. With the aim to improve the utilization of remanufacturing parts with qualified quality attributes but exceed dimension, the purpose of this paper is to put forward a reassembly classification selection method based on the Markov Chain.

To begin with, a classification standard of reassembly parts is proposed. With the thinking of traditional ABC analysis, a classification management method of reassembly parts for remanufactured engine is proposed. Then, a homogeneous Markov Chain of reassembly process is built after grading the matching dimension of reassembly parts with different variety. And the reassembly parts selection model is constructed based on the Markov Chain. Besides, the reassembly classification selection model and its flow chart are proposed by combining the researches above. Finally, the assembly process of remanufactured crankshaft is adopted as a representative example for illustrating the feasibility and the effectiveness of the method proposed.

The reassembly classification selection method based on the Markov Chain is an effective method in improving the utilization of remanufacturing parts/reused parts. The average utilization of remanufactured crankcase has increased from 35.7 to 80.1 per cent and the average utilization of reused crankcase has increased from 4.2 to 14 per cent as shown in the representative example.

The reassembly classification selection method based on the Markov Chain is of great importance in enhancing the economic benefit for remanufacturing enterprises by improving the utilization of remanufactured parts/reused parts.

The purpose of this paper is to determine whether students perceive grade inflation as a problem. It questions whether differences exist in perceptions based upon gender and grade point average (GPA).

Previously validated scales were used to assess perceptions. The sample included 108 full-time traditional-aged undergraduate students from a private university.

Students do not believe A grades are given more than deserved; however, they believe some receive higher grades than deserved. Grades are seen as an accurate reflection of achievement. Neither gender nor GPA differences were found on grade inflation perceptions, although women believe faculty give higher grades to receive better student evaluations.

This paper combines student perceptions about grade inflation and analysis by gender and GPA.

This article reports on research designed to explore recruitment, training and promotion practices in the banking and finance industry. In recent years, the initiatives of the major banks in the area of equal opportunities have received substantial publicity. Recruitment patterns are now monitored, career break schemes have been introduced, equal opportunity training has been undertaken, policy guidelines have been specified and circulated, and managers with specific responsibility for equal opportunities have been appointed. The research findings suggest, however, that deep‐seated and self‐fulfilling vicious circles of sex discrimination, inherited from a paternalistic past, can still characterise the industry's selection practices.