The results of literature review show that Problem Based Learning (PBL) and Hybrid Learning models have been proven to increase students’ higher order thinking skills (HOTS), but also still have weaknesses that need to be refined. To complete the weaknesses in the implementation of the PBL Model and the Hybrid Learning Model, it is necessary to develop an Innovative Learning Model that can increase students' HOTS. The BWML (Blended Web Mobile Learning) Model is a learning model that integrates the Hybrid Learning model with PBL model, which is supported by the use of MoLearn application in each learning activity. The development of the Blended Web Mobile Learning model is supported by the latest learning theories and the empirical foundation of the latest research. The BWML model has five phases, namely: (1) Orientation based on IoTs and Big Data, (2) Investigation, (3) Analyzing, (4) Presenting, and (5) Evaluating, which each phase is carried out and supported by using the MoLearn application. The emphasis on BWML model implementation use percentage of 70% (on the job experience), 20% (mentoring and coaching), and 10% (classroom, course, and reading).
The purpose of this study is to develop a Web-and Android-based learning application for high school students, named MoLearn. To meet teacher needs, a preliminary study was conducted by conducting interviews and field observations. The design and development follow the ADDIE model, with stages namely (1) analysis of needs, (2) design of interface, (3) development / construction, (4) implementation and (5) evaluation. The research subjects were educators who were members of the Biology and Geography MGMP, along with their students. The evaluation was carried out to the educators representing the respective MGMP, carried out by distributing questionnaires, and triangulation using the UI/UX test. Data analysis was performed with qualitative descriptive technique and descriptive statistic. Based on data analysis, the results show that all educators agree that (1) MoLearn's appearance is attractive and convenient to use, (2) MoLearn can fulfill learning needs, and (3) MoLearn has fulfilled the requirements as a learning model that utilizes Information Technology.
The existence of mobile learning is a logical conse quence of information technology advancement in e ducation. In the previous research, the produced mobile le arning application called MoLearn can only handle automatic asse ssments of online exam with multiple choice questions. Curre ntly, MoLearn has not been able to fully meet needs of school on the learning evaluation of essay questions. Automatic asse ssment of essay answers is more difficult to match with key answe rs, but the reality is still a lot of exams use the type of essay que stions. Therefore, the solution offered is the creation of online e xam prototype that can perform essay assessment using text similarity method. The text similarity methods that can be used to asse ss the correctness level of answer and plagiarism level of answe rs among examinees are cosine similarity, Smith-Wate rman, and Latent Semantic Analysis (LSA) algorithms. The re sults show that this prototype can give MoLe arn application de ve lopment proposal to handle automatic assessment of essay que stions. In addition, this prototype can also display the level of plagiarism answers among students as an effort to promote the value of honesty.
The purpose of this research was to produce a model that can be used as a reference in implementing hybrid learning and Problem Based Learning (PBL) in learning with the MoLearn application. This research was included in Research and Development/R&D type by developing the right learning model for the MoLearn application. The Blended Web Mobile Leaning (BWML) model test was conducted related to its validity and practicality. The result of research showed (1) quality test with average content validity (3.72) statistically in (rα = 0.25) and reliability in (α = 81), average construct validity (3.74), with validity of each aspect statistically in (rα = 0.20) and reliability in (α = 0.75). It can be concluded that the BWML model is qualified (valid in content and constructs, and reliable) by experts. (2) The feasibility test (practically used by students) had an average of 3.23 with a statistical aspect validity in rα = 0.91 and reliability in α = 0.99 This can mean that students stated that the model has novelty and is easy to use. The implication of this research is that a quality BWML model can be used to improve HOTs-based learning outcomes. Further research can be focused on looking at the effectiveness of the BWML model for improving HOTs-based learning outcomes
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